Package: effectsize Check: re-building of vignette outputs New result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘anovaES.Rmd’ using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list( c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list()), theta = c(1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L), Dim = c(36L, 36L), Dimnames = list( NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), n = 180L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Reaction = c(249.56, 258.7047, 250.8006, 321.4398, 356.8519, 414.6901, 382.2038, 290.1486, 430.5853, 466.3535, 222.7339, 205.2658, 202.9778, 204.707, 207.7161, 215.9618, 213.6303, 217.7272, 224.2957, 237.3142, 199.0539, 194.3322, 234.32, 232.8416, 229.3074, 220.4579, 235.4208, 255.7511, 261.0125, 247.5153, 321.5426, 300.4002, 283.8565, 285.133, 285.7973, 297.5855, 280.2396, 318.2613, 305.3495, 354.0487, 287.6079, 285, 301.8206, 320.1153, 316.2773, 293.3187, 290.075, 334.8177, 293.7469, 371.5811, 234.8606, 242.8118, 272.9613, 309.7688, 317.4629, 309.9976, 454.1619, 346.8311, 330.3003, 253.8644, 283.8424, 289.555, 276.7693, 299.8097, 297.171, 338.1665, 332.0265, 348.8399, 333.36, 362.0428, 265.4731, 276.2012, 243.3647, 254.6723, 279.0244, 284.1912, 305.5248, 331.5229, 335.7469, 377.299, 241.6083, 273.9472, 254.4907, 270.8021, 251.4519, 254.6362, 245.4523, 235.311, 235.7541, 237.2466, 312.3666, 313.8058, 291.6112, 346.1222, 365.7324, 391.8385, 404.2601, 416.6923, 455.8643, 458.9167, 236.1032, 230.3167, 238.9256, 254.922, 250.7103, 269.7744, 281.5648, 308.102, 336.2806, 351.6451, 256.2968, 243.4543, 256.2046, 255.5271, 268.9165, 329.7247, 379.4445, 362.9184, 394.4872, 389.0527, 250.5265, 300.0576, 269.8939, 280.5891, 271.8274, 304.6336, 287.7466, 266.5955, 321.5418, 347.5655, 221.6771, 298.1939, 326.8785, 346.8555, 348.7402, 352.8287, 354.4266, 360.4326, 375.6406, 388.5417, 271.9235, 268.4369, 257.2424, 277.6566, 314.8222, 317.2135, 298.1353, 348.1229, 340.28, 366.5131, 225.264, 234.5235, 238.9008, 240.473, 267.5373, 344.1937, 281.1481, 347.5855, 365.163, 372.2288, 269.8804, 272.4428, 277.8989, 281.7895, 279.1705, 284.512, 259.2658, 304.6306, 350.7807, 369.4692, 269.4117, 273.474, 297.5968, 310.6316, 287.1726, 329.6076, 334.4818, 343.2199, 369.1417, 364.1236), Days = c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), reTrms = list( Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list(c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list()), theta = c(1, 0, 1), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Gp = c(0L, 36L), lower = c(0, -Inf, 0), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L), Dim = c(36L, 36L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), flist = list(Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), cnms = list(Subject = c("(Intercept)", "Days")), Ztlist = list(`Days | Subject` = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list( c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list())), nl = c(Subject = 18L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list( action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(action = "message", tol = 1e-04), check.conv.hess = list(action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = Reaction ~ Days + (Days | Subject), data = sleepstudy) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(Reaction ~ Days + (Days | Subject), sleepstudy) 16: eval(expr, envir, enclos) 17: eval(expr, envir, enclos) 18: eval_with_user_handlers(expr, envir, enclos, user_handlers) 19: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 20: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 21: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 22: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 23: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 24: evaluate::evaluate(...) 25: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 26: in_dir(input_dir(), expr) 27: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 28: eng_r(options) 29: block_exec(params) 30: call_block(x) 31: process_group.block(group) 32: process_group(group) 33: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 34: withCallingHandlers(expr, error = function(e) { loc = paste0(current_lines(), label, sprintf(" (%s)", knit_concord$get("infile"))) message(one_string(handler(e, loc)))}) 35: handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i])) 36: process_file(text, output) 37: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 38: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 39: vweave_rmarkdown(...) 40: engine$weave(file, quiet = quiet, encoding = enc) 41: doTryCatch(return(expr), name, parentenv, handler) 42: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 43: tryCatchList(expr, classes, parentenv, handlers) 44: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 45: tools:::.buildOneVignette("anovaES.Rmd", "/home/hornik/tmp/CRAN/effectsize.Rcheck/vign_test/effectsize", TRUE, FALSE, "anovaES", "UTF-8", "/home/hornik/tmp/scratch/RtmpOJSxu2/file19666d1c21a45f.rds") An irrecoverable exception occurred. R is aborting now ... Segmentation fault --- re-building ‘convert_p_OR_RR.Rmd’ using rmarkdown --- finished re-building ‘convert_p_OR_RR.Rmd’ --- re-building ‘convert_r_d_OR.Rmd’ using rmarkdown --- finished re-building ‘convert_r_d_OR.Rmd’ --- re-building ‘effectsize.Rmd’ using rmarkdown --- finished re-building ‘effectsize.Rmd’ --- re-building ‘effectsize_API.Rmd’ using rmarkdown --- finished re-building ‘effectsize_API.Rmd’ --- re-building ‘from_test_statistics.Rmd’ using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list( c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list()), theta = c(1, 0, 1), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L), Dim = c(36L, 36L), Dimnames = list( NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), n = 180L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Reaction = c(249.56, 258.7047, 250.8006, 321.4398, 356.8519, 414.6901, 382.2038, 290.1486, 430.5853, 466.3535, 222.7339, 205.2658, 202.9778, 204.707, 207.7161, 215.9618, 213.6303, 217.7272, 224.2957, 237.3142, 199.0539, 194.3322, 234.32, 232.8416, 229.3074, 220.4579, 235.4208, 255.7511, 261.0125, 247.5153, 321.5426, 300.4002, 283.8565, 285.133, 285.7973, 297.5855, 280.2396, 318.2613, 305.3495, 354.0487, 287.6079, 285, 301.8206, 320.1153, 316.2773, 293.3187, 290.075, 334.8177, 293.7469, 371.5811, 234.8606, 242.8118, 272.9613, 309.7688, 317.4629, 309.9976, 454.1619, 346.8311, 330.3003, 253.8644, 283.8424, 289.555, 276.7693, 299.8097, 297.171, 338.1665, 332.0265, 348.8399, 333.36, 362.0428, 265.4731, 276.2012, 243.3647, 254.6723, 279.0244, 284.1912, 305.5248, 331.5229, 335.7469, 377.299, 241.6083, 273.9472, 254.4907, 270.8021, 251.4519, 254.6362, 245.4523, 235.311, 235.7541, 237.2466, 312.3666, 313.8058, 291.6112, 346.1222, 365.7324, 391.8385, 404.2601, 416.6923, 455.8643, 458.9167, 236.1032, 230.3167, 238.9256, 254.922, 250.7103, 269.7744, 281.5648, 308.102, 336.2806, 351.6451, 256.2968, 243.4543, 256.2046, 255.5271, 268.9165, 329.7247, 379.4445, 362.9184, 394.4872, 389.0527, 250.5265, 300.0576, 269.8939, 280.5891, 271.8274, 304.6336, 287.7466, 266.5955, 321.5418, 347.5655, 221.6771, 298.1939, 326.8785, 346.8555, 348.7402, 352.8287, 354.4266, 360.4326, 375.6406, 388.5417, 271.9235, 268.4369, 257.2424, 277.6566, 314.8222, 317.2135, 298.1353, 348.1229, 340.28, 366.5131, 225.264, 234.5235, 238.9008, 240.473, 267.5373, 344.1937, 281.1481, 347.5855, 365.163, 372.2288, 269.8804, 272.4428, 277.8989, 281.7895, 279.1705, 284.512, 259.2658, 304.6306, 350.7807, 369.4692, 269.4117, 273.474, 297.5968, 310.6316, 287.1726, 329.6076, 334.4818, 343.2199, 369.1417, 364.1236), Days = c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), reTrms = list( Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list(c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list()), theta = c(1, 0, 1), Lind = c(1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), Gp = c(0L, 36L), lower = c(0, -Inf, 0), Lambdat = new("dgCMatrix", i = c(0L, 0L, 1L, 2L, 2L, 3L, 4L, 4L, 5L, 6L, 6L, 7L, 8L, 8L, 9L, 10L, 10L, 11L, 12L, 12L, 13L, 14L, 14L, 15L, 16L, 16L, 17L, 18L, 18L, 19L, 20L, 20L, 21L, 22L, 22L, 23L, 24L, 24L, 25L, 26L, 26L, 27L, 28L, 28L, 29L, 30L, 30L, 31L, 32L, 32L, 33L, 34L, 34L, 35L), p = c(0L, 1L, 3L, 4L, 6L, 7L, 9L, 10L, 12L, 13L, 15L, 16L, 18L, 19L, 21L, 22L, 24L, 25L, 27L, 28L, 30L, 31L, 33L, 34L, 36L, 37L, 39L, 40L, 42L, 43L, 45L, 46L, 48L, 49L, 51L, 52L, 54L), Dim = c(36L, 36L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1), factors = list()), flist = list(Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), cnms = list(Subject = c("(Intercept)", "Days")), Ztlist = list(`Days | Subject` = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list( c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list())), nl = c(Subject = 18L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list( action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(action = "message", tol = 1e-04), check.conv.hess = list(action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = Reaction ~ Days + (Days | Subject), data = sleepstudy) 12: eval(expr, p) 13: eval(expr, p) 14: eval.parent(mc) 15: lmer(Reaction ~ Days + (Days | Subject), sleepstudy) 16: eval(expr, envir, enclos) 17: eval(expr, envir, enclos) 18: eval_with_user_handlers(expr, envir, enclos, user_handlers) 19: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 20: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 21: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 22: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 23: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 24: evaluate::evaluate(...) 25: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 26: in_dir(input_dir(), expr) 27: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 28: eng_r(options) 29: block_exec(params) 30: call_block(x) 31: process_group.block(group) 32: process_group(group) 33: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 34: withCallingHandlers(expr, error = function(e) { loc = paste0(current_lines(), label, sprintf(" (%s)", knit_concord$get("infile"))) message(one_string(handler(e, loc)))}) 35: handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i])) 36: process_file(text, output) 37: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 38: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 39: vweave_rmarkdown(...) 40: engine$weave(file, quiet = quiet, encoding = enc) 41: doTryCatch(return(expr), name, parentenv, handler) 42: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 43: tryCatchList(expr, classes, parentenv, handlers) 44: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 45: tools:::.buildOneVignette("from_test_statistics.Rmd", "/home/hornik/tmp/CRAN/effectsize.Rcheck/vign_test/effectsize", TRUE, FALSE, "from_test_statistics", "UTF-8", "/home/hornik/tmp/scratch/RtmpOJSxu2/file19666d277141d7.rds") An irrecoverable exception occurred. R is aborting now ... Segmentation fault --- re-building ‘interpret.Rmd’ using rmarkdown --- finished re-building ‘interpret.Rmd’ --- re-building ‘standardized_differences.Rmd’ using rmarkdown --- finished re-building ‘standardized_differences.Rmd’ --- re-building ‘xtabs.Rmd’ using rmarkdown --- finished re-building ‘xtabs.Rmd’ SUMMARY: processing the following files failed: ‘anovaES.Rmd’ ‘from_test_statistics.Rmd’ Error: Vignette re-building failed. Execution halted Package: effectsize Check: tests New result: ERROR Running ‘testthat.R’ [28s/14s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(effectsize) > > test_check("effectsize") Starting 2 test processes Error in `private$handle_error()`: ! testthat subprocess exited in file `test-eta_squared.R` Caused by error: ! R session crashed with exit code -11 Backtrace: ▆ 1. └─testthat::test_check("effectsize") 2. └─testthat::test_dir(...) 3. └─testthat:::test_files(...) 4. └─testthat:::test_files_parallel(...) 5. ├─withr::with_dir(...) 6. │ └─base::force(code) 7. ├─testthat::with_reporter(...) 8. │ └─base::tryCatch(...) 9. │ └─base (local) tryCatchList(expr, classes, parentenv, handlers) 10. │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 11. │ └─base (local) doTryCatch(return(expr), name, parentenv, handler) 12. └─testthat:::parallel_event_loop_chunky(queue, reporters, ".") 13. └─queue$poll(Inf) 14. └─base::lapply(...) 15. └─testthat (local) FUN(X[[i]], ...) 16. └─private$handle_error(msg, i) 17. └─rlang::abort(...) Execution halted Package: finetune Check: tests New result: ERROR Running ‘spelling.R’ [0s/0s] Running ‘testthat.R’ [11s/11s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > > suppressPackageStartupMessages(library(finetune)) > > # CRAN wants packages to be able to be check without the Suggests dependencies > if (rlang::is_installed(c("modeldata", "lme4", "testthat"))) { + suppressPackageStartupMessages(library(testthat)) + test_check("finetune") + } *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L), Dim = c(15L, 80L), Dimnames = list(c("Repeat1:Fold1", "Repeat1:Fold2", "Repeat1:Fold3", "Repeat1:Fold4", "Repeat1:Fold5", "Repeat2:Fold1", "Repeat2:Fold2", "Repeat2:Fold3", "Repeat2:Fold4", "Repeat2:Fold5", "Fold1", "Fold2", "Fold3", "Fold4", "Fold5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = c(1, 1), Lambdat = new("dgCMatrix", i = 0:14, p = 0:15, Dim = c(15L, 15L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L), n = 80L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(.estimate = c(2.98747384925793, 3.85763806344911, 1.48898735163645, 2.45639754292518, 1.75562587763516, 1.73536968295171, 4.14959120189654, 2.55677205345594, 3.07408711231059, 2.20108874574985, 2.96463744433731, 3.63565085546689, 1.57484390760905, 2.7579634696638, 1.72687096603462, 2.10367214839587, 4.40886777748722, 2.21126116185446, 3.28472975881995, 2.13062979734475, 3.17776875900596, 3.74851589680122, 1.25581978537262, 2.19832638361297, 1.37921072437181, 1.73536968295171, 4.14959120189654, 2.42839109974759, 3.25966689107043, 2.1598128776972, 2.96463744433731, 3.63565085546689, 1.57484390760905, 2.7579634696638, 1.72687096603462, 2.10367214839587, 4.40886777748722, 2.21126116185446, 3.28472975881995, 2.13062979734475, 3.17776875900596, 4.0686888024803, 1.31275791116768, 2.31101428750171, 1.37921072437181, 1.74223902648196, 4.14959120189654, 2.21126116185446, 3.20605077534247, 1.83376888765551, 2.96463744433731, 3.9649482071919, 1.57484390760905, 2.7579634696638, 1.72687096603462, 2.10367214839587, 4.40886777748722, 2.21126116185446, 3.28472975881995, 2.13062979734475, 3.17584353248978, 4.10957191799905, 1.98746069143518, 2.23615079329869, 1.40786481358592, 1.78339452498488, 4.36616454764852, 2.41861032949211, 3.40402641489947, 1.7854154511859, 3.28046768829816, 3.9649482071919, 2.18356529726212, 2.69554184410729, 1.72687096603462, 2.10367214839587, 4.40886777748722, 2.41861032949211, 3.5345425807513, 2.13062979734475), .config = c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L), id2 = c(1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L), id = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L, 0L, 10L, 1L, 11L, 2L, 12L, 3L, 13L, 4L, 14L, 5L, 10L, 6L, 11L, 7L, 12L, 8L, 13L, 9L, 14L), p = c(0L, 2L, 4L, 6L, 8L, 10L, 12L, 14L, 16L, 18L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 40L, 42L, 44L, 46L, 48L, 50L, 52L, 54L, 56L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 78L, 80L, 82L, 84L, 86L, 88L, 90L, 92L, 94L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 116L, 118L, 120L, 122L, 124L, 126L, 128L, 130L, 132L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 154L, 156L, 158L, 160L), Dim = c(15L, 80L), Dimnames = list(c("Repeat1:Fold1", "Repeat1:Fold2", "Repeat1:Fold3", "Repeat1:Fold4", "Repeat1:Fold5", "Repeat2:Fold1", "Repeat2:Fold2", "Repeat2:Fold3", "Repeat2:Fold4", "Repeat2:Fold5", "Fold1", "Fold2", "Fold3", "Fold4", "Fold5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = c(1, 1), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L), Gp = c(0L, 10L, 15L), lower = c(0, 0), Lambdat = new("dgCMatrix", i = 0:14, p = 0:15, Dim = c(15L, 15L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list(`id:id2` = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L), id2 = c(1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L)), cnms = list(`id:id2` = "(Intercept)", id2 = "(Intercept)"), Ztlist = list(`1 | id:id2` = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L), p = 0:80, Dim = c(10L, 80L), Dimnames = list(c("Repeat1:Fold1", "Repeat1:Fold2", "Repeat1:Fold3", "Repeat1:Fold4", "Repeat1:Fold5", "Repeat2:Fold1", "Repeat2:Fold2", "Repeat2:Fold3", "Repeat2:Fold4", "Repeat2:Fold5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), `1 | id2` = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L, 0L, 1L, 2L, 3L, 4L), p = 0:80, Dim = c(5L, 80L), Dimnames = list(c("Fold1", "Fold2", "Fold3", "Fold4", "Fold5" ), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(`id:id2` = 10L, id2 = 5L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lmer(.estimate ~ .config + (1 | id2/id), data = rmse_configs) 12: eval(code, test_env) 13: eval(code, test_env) 14: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error) 15: doTryCatch(return(expr), name, parentenv, handler) 16: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 17: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 18: doTryCatch(return(expr), name, parentenv, handler) 19: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 20: tryCatchList(expr, classes, parentenv, handlers) 21: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 22: test_code(desc, code, env = parent.frame(), default_reporter = local_interactive_reporter()) 23: test_that("anova filtering and logging", { skip_if(getRversion() < "4.0.0") skip_if_not_installed("Matrix", "1.6-2") skip_if_not_installed("lme4", "1.1-35.1") set.seed(2332) folds <- vfold_cv(mtcars, v = 5, repeats = 2) fold_att <- attributes(folds) spec <- decision_tree(cost_complexity = tune(), min_n = tune()) %>% set_engine("rpart") %>% set_mode("regression") wflow <- workflow() %>% add_model(spec) %>% add_formula(mpg ~ .) grid <- expand.grid(cost_complexity = c(0.001, 0.01), min_n = c(2:5)) grid_res <- spec %>% tune_grid(mpg ~ ., folds, grid = grid, metrics = metric_set(rmse)) alpha <- 0.0381 rmse_means <- collect_metrics(grid_res) configs <- rmse_means$.config[order(rmse_means$mean)] rmse_vals <- collect_metrics(grid_res, summarize = FALSE) rmse_configs <- rmse_vals rmse_configs$.config <- factor(rmse_configs$.config, levels = configs) rmse_configs <- rmse_configs[, c("id", "id2", ".estimate", ".config")] rmse_mod <- lmer(.estimate ~ .config + (1 | id2/id), data = rmse_configs) rmse_summary <- summary(rmse_mod)$coef rmse_res <- tibble::as_tibble(rmse_summary) rmse_res$.config <- gsub("\\.config", "", rownames(rmse_summary)) rmse_res$.config <- gsub("(Intercept)", configs[1], rmse_res$.config, fixed = TRUE) rmse_ci <- confint(rmse_mod, level = 1 - alpha, method = "Wald", quiet = TRUE) rmse_ci <- rmse_ci[grepl("config", rownames(rmse_ci)), ] anova_res <- finetune:::fit_anova(grid_res, rmse_configs, alpha = alpha) expect_equal(anova_res$estimate, rmse_res$Estimate[-1]) expect_equal(anova_res$lower, unname(rmse_ci[, 1])) expect_equal(anova_res$upper, unname(rmse_ci[, 2])) expect_equal(anova_res$.config, configs[-1]) expect_error({ set.seed(129) anova_mod <- spec %>% tune_race_anova(mpg ~ ., folds, grid = grid) }, regexp = NA) expect_true(inherits(anova_mod, "tune_race")) expect_true(inherits(anova_mod, "tune_results")) expect_true(tibble::is_tibble((anova_mod))) expect_silent({ set.seed(129) anova_wlfow <- wflow %>% tune_race_anova(folds, grid = grid, control = control_race(verbose_elim = FALSE, save_pred = TRUE)) }) expect_true(inherits(anova_wlfow, "tune_race")) expect_true(inherits(anova_wlfow, "tune_results")) expect_true(tibble::is_tibble((anova_wlfow))) expect_true(sum(names(anova_wlfow) == ".predictions") == 1) for (i in 2:nrow(folds)) { f <- finetune:::lmer_formula(folds %>% slice(1:i), fold_att) if (i < 7) { expect_equal(f, .estimate ~ .config + (1 | .all_id), ignore_attr = TRUE) } else { expect_equal(f, .estimate ~ .config + (1 | id2/id), ignore_attr = TRUE) } } expect_equal(environment(f), rlang::base_env()) car_bt <- bootstraps(mtcars, times = 5) car_att <- attributes(car_bt) for (i in 2:nrow(car_bt)) { f <- finetune:::lmer_formula(car_bt %>% slice(1:i), car_att) expect_equal(f, .estimate ~ .config + (1 | id), ignore_attr = TRUE) } expect_equal(environment(f), rlang::base_env()) res <- finetune:::refactor_by_mean(rmse_vals, maximize = FALSE) expect_equal(res, rmse_configs) param <- .get_tune_parameter_names(ames_grid_search) ames_grid_res <- collect_metrics(ames_grid_search) ames_grid_res <- ames_grid_res[ames_grid_res$.metric == "rmse", ] anova_res <- finetune:::test_parameters_gls(ames_grid_search) expect_equal(names(anova_res), c(".config", "lower", "upper", "estimate", "pass", "K", "weight_func", "dist_power", "lon", "lat")) expect_equal(nrow(anova_res), nrow(ames_grid_res)) expect_equal(anova_res$lower <= 0, anova_res$pass) expect_equal(anova_res %>% dplyr::select(!!!param, .config) %>% arrange(.config), ames_grid_res %>% dplyr::select(!!!param, .config) %>% arrange(.config)) expect_snapshot(finetune:::log_racing(control_race(verbose_elim = TRUE), anova_res, ames_grid_search$splits, 10, "rmse")) expect_snapshot(finetune:::log_racing(control_race(verbose_elim = TRUE), anova_res, ames_grid_search$splits, 10, "rmse")) expect_snapshot(finetune:::log_racing(control_race(verbose_elim = TRUE), anova_res, ames_grid_search$splits, 10, "rmse"))}) 24: eval(code, test_env) 25: eval(code, test_env) 26: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error) 27: doTryCatch(return(expr), name, parentenv, handler) 28: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 29: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 30: doTryCatch(return(expr), name, parentenv, handler) 31: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 32: tryCatchList(expr, classes, parentenv, handlers) 33: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 34: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 35: source_file(path, env = env(env), desc = desc, error_call = error_call) 36: FUN(X[[i]], ...) 37: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 38: doTryCatch(return(expr), name, parentenv, handler) 39: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 40: tryCatchList(expr, classes, parentenv, handlers) 41: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 42: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 43: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 44: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 45: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 46: test_check("finetune") An irrecoverable exception occurred. R is aborting now ... Segmentation fault Package: ggeffects Check: examples New result: ERROR Running examples in ‘ggeffects-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: collapse_by_group > ### Title: Collapse raw data by random effect groups > ### Aliases: collapse_by_group > > ### ** Examples > > ## Don't show: > if (require("lme4", quietly = TRUE)) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf + ## End(Don't show) + library(ggeffects) + data(efc, package = "ggeffects") + efc$e15relat <- as.factor(efc$e15relat) + efc$c161sex <- as.factor(efc$c161sex) + levels(efc$c161sex) <- c("male", "female") + model <- lme4::lmer(neg_c_7 ~ c161sex + (1 | e15relat), data = efc) + me <- predict_response(model, terms = "c161sex") + head(attributes(me)$rawdata) + collapse_by_group(me, model, "e15relat") + ## Don't show: + }) # examplesIf > library(ggeffects) > data(efc, package = "ggeffects") > efc$e15relat <- as.factor(efc$e15relat) > efc$c161sex <- as.factor(efc$c161sex) > levels(efc$c161sex) <- c("male", "female") > model <- lme4::lmer(neg_c_7 ~ c161sex + (1 | e15relat), data = efc) *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 3L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 6L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 7L, 1L, 0L, 0L, 0L, 3L, 0L, 3L, 0L, 0L, 0L, 7L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 7L, 1L, 7L, 0L, 0L, 0L, 1L, 3L, 1L, 5L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 3L, 1L, 1L, 3L, 7L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 7L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 1L, 1L, 4L, 1L, 0L, 7L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 2L, 1L, 4L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 6L, 2L, 3L, 1L, 0L, 1L, 7L, 3L, 7L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 7L, 0L, 1L, 1L, 7L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 7L, 1L, 7L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 5L, 2L, 1L, 4L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 0L, 7L, 2L, 6L, 0L, 1L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 5L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 4L, 1L, 3L, 7L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 7L, 1L, 3L, 0L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 6L, 4L, 0L, 1L, 7L, 7L, 0L, 1L, 0L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 4L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 2L, 3L, 7L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 3L, 5L, 1L, 5L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 3L, 1L, 7L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 7L, 0L, 1L, 3L, 1L, 0L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 4L, 2L, 3L, 1L, 1L, 7L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 5L, 3L, 7L, 7L, 3L, 3L, 1L, 7L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 0L, 3L, 0L, 1L, 1L, 7L, 1L, 1L, 0L, 7L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 3L, 3L, 1L, 1L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 1L, 1L, 0L, 3L, 0L, 0L, 1L, 1L, 1L, 7L, 7L, 1L, 3L, 1L, 2L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 5L, 3L, 0L, 1L, 5L, 4L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 2L, 0L, 5L, 7L, 2L, 3L, 2L, 1L, 1L, 3L, 0L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 7L, 1L, 1L, 3L, 1L, 2L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 7L, 1L, 7L, 7L, 0L, 3L, 0L, 1L, 3L, 1L, 3L, 5L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 2L, 1L, 3L, 3L, 1L, 7L, 4L, 4L, 2L, 0L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 7L, 7L, 3L, 0L, 2L, 2L, 2L, 6L, 6L, 0L, 5L, 7L, 3L, 1L, 5L, 3L, 7L, 1L, 1L, 7L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 0L, 1L, 3L, 5L, 1L, 2L, 1L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 3L, 7L, 3L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 3L, 7L, 7L, 5L, 4L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 0L, 1L, 1L), p = 0:890, Dim = c(8L, 890L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "135", "136", "137", "138", "139", "140", "141", "142", "143", "145", "146", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:7, p = 0:8, Dim = c(8L, 8L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 890L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(neg_c_7 = c(12, 20, 11, 10, 12, 19, 15, 11, 15, 10, 28, 18, 13, 18, 16, 13, 11, 11, 13, 17, 11, 9, 8, 14, 11, 23, 11, 15, 11, 25, 9, 15, 20, 9, 10, 19, 8, 17, 16, 17, 14, 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13, 11, 7, 18, 17, 12, 18, 17, 13, 10, 19, 7, 8, 10, 18, 17, 19, 8, 12, 10, 14, 10, 13, 9, 8, 8, 9, 15, 11, 7, 8, 11, 21, 8, 11, 10, 10, 11, 10, 11, 9, 13, 17, 9, 8, 8, 9, 13, 14, 14, 9, 12, 8, 11, 10, 11, 11, 10, 10, 10, 12, 13, 7, 8, 12, 8, 8, 13, 10, 12, 16, 8, 10, 13, 10, 9, 10, 12, 11, 9, 10, 9, 13, 10, 9, 10, 8, 7, 8, 7, 7, 9, 8, 11, 9, 10, 12, 11, 7, 16, 12, 10, 8, 12, 23, 10, 10, 18, 13, 12, 18, 9, 12, 13, 9, 7, 10, 7, 8, 17, 11, 14, 11, 23, 14, 8, 7, 15, 8, 12, 9, 15, 17, 13, 13, 10, 20, 10, 11, 25, 10, 12, 10, 12, 10, 8, 14, 8, 18, 8, 15, 11, 12, 10, 7, 10, 13, 14, 7, 7, 14, 11, 11, 11, 9, 7, 15, 9, 9, 18, 8, 15, 7, 8, 13, 8, 8, 9, 7, 7, 9, 8, 8, 13, 10, 11, 13, 11, 8, 12, 8, 9, 16, 11, 19, 12, 12, 9, 10, 10, 9, 13, 7, 11, 13, 10, 10, 13, 9, 14, 15, 15, 9, 10, 8, 8, 9, 9, 9, 9, 9, 13, 9, 12, 14, 12, 8, 10, 7, 22, 18, 16, 13, 15, 24, 11, 14, 12, 11, 10, 7, 10, 10, 12, 10, 7, 9, 16, 14, 12, 9, 10, 8, 9, 7, 8, 10, 9, 8, 10, 10, 7, 11, 8, 10, 11, 14, 7, 8, 10, 10, 11, 11, 8, 8, 9, 11, 7, 7, 8, 9, 9, 7, 13, 15, 11, 24, 8, 9, 7, 10, 15, 18, 22, 18, 9, 11, 14, 7, 9, 17, 23, 12, 13, 15, 8, 8, 14, 10, 10), c161sex = c(2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L), e15relat = c(2L, 2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 2L, 1L, 8L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 1L, 8L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 8L, 2L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 8L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 8L, 8L, 2L, 8L, 1L, 1L, 1L, 2L, 4L, 2L, 6L, 2L, 1L, 1L, 2L, 2L, 1L, 3L, 4L, 2L, 2L, 4L, 8L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 8L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 6L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 8L, 8L, 8L, 2L, 2L, 8L, 2L, 8L, 4L, 2L, 2L, 5L, 2L, 1L, 8L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 3L, 2L, 5L, 2L, 3L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 2L, 7L, 3L, 4L, 2L, 1L, 2L, 8L, 4L, 8L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 8L, 1L, 2L, 2L, 8L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 2L, 4L, 8L, 2L, 8L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 8L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 3L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 6L, 3L, 2L, 5L, 4L, 2L, 4L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 4L, 1L, 4L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 1L, 1L, 8L, 3L, 7L, 1L, 2L, 4L, 2L, 2L, 1L, 8L, 2L, 1L, 6L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 5L, 2L, 4L, 8L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 6L, 6L, 2L, 2L, 2L, 8L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 2L, 7L, 5L, 1L, 2L, 8L, 8L, 1L, 2L, 1L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 5L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 4L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 4L, 8L, 8L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 4L, 6L, 2L, 6L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 4L, 2L, 8L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 8L, 1L, 2L, 4L, 2L, 1L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 5L, 3L, 4L, 2L, 2L, 8L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 8L, 6L, 4L, 8L, 8L, 4L, 4L, 2L, 8L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 1L, 4L, 1L, 2L, 2L, 8L, 2L, 2L, 1L, 8L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 8L, 2L, 2L, 8L, 2L, 8L, 4L, 4L, 4L, 2L, 2L, 8L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 5L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 2L, 2L, 2L, 8L, 8L, 2L, 4L, 2L, 3L, 2L, 1L, 3L, 2L, 4L, 2L, 2L, 2L, 6L, 4L, 1L, 2L, 6L, 5L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 3L, 1L, 6L, 8L, 3L, 4L, 3L, 2L, 2L, 4L, 1L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 8L, 2L, 2L, 4L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 3L, 5L, 2L, 8L, 2L, 8L, 8L, 1L, 4L, 1L, 2L, 4L, 2L, 4L, 6L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 3L, 2L, 4L, 4L, 2L, 8L, 5L, 5L, 3L, 1L, 2L, 8L, 8L, 8L, 2L, 2L, 8L, 8L, 8L, 4L, 1L, 3L, 3L, 3L, 7L, 7L, 1L, 6L, 8L, 4L, 2L, 6L, 4L, 8L, 2L, 2L, 8L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 1L, 2L, 4L, 6L, 2L, 3L, 2L, 8L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 4L, 8L, 4L, 4L, 8L, 8L, 5L, 2L, 5L, 5L, 2L, 2L, 2L, 8L, 8L, 8L, 8L, 4L, 8L, 8L, 6L, 5L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 8L, 2L, 1L, 2L, 2L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1), reTrms = list(Zt = new("dgCMatrix", i = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 3L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 6L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 7L, 1L, 0L, 0L, 0L, 3L, 0L, 3L, 0L, 0L, 0L, 7L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 7L, 1L, 7L, 0L, 0L, 0L, 1L, 3L, 1L, 5L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 3L, 1L, 1L, 3L, 7L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 7L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 1L, 1L, 4L, 1L, 0L, 7L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 2L, 1L, 4L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 6L, 2L, 3L, 1L, 0L, 1L, 7L, 3L, 7L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 7L, 0L, 1L, 1L, 7L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 7L, 1L, 7L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 5L, 2L, 1L, 4L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 0L, 7L, 2L, 6L, 0L, 1L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 5L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 4L, 1L, 3L, 7L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 7L, 1L, 3L, 0L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 6L, 4L, 0L, 1L, 7L, 7L, 0L, 1L, 0L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 4L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 2L, 3L, 7L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 3L, 5L, 1L, 5L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 3L, 1L, 7L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 7L, 0L, 1L, 3L, 1L, 0L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 4L, 2L, 3L, 1L, 1L, 7L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 5L, 3L, 7L, 7L, 3L, 3L, 1L, 7L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 0L, 3L, 0L, 1L, 1L, 7L, 1L, 1L, 0L, 7L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 3L, 3L, 1L, 1L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 1L, 1L, 0L, 3L, 0L, 0L, 1L, 1L, 1L, 7L, 7L, 1L, 3L, 1L, 2L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 5L, 3L, 0L, 1L, 5L, 4L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 2L, 0L, 5L, 7L, 2L, 3L, 2L, 1L, 1L, 3L, 0L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 7L, 1L, 1L, 3L, 1L, 2L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 7L, 1L, 7L, 7L, 0L, 3L, 0L, 1L, 3L, 1L, 3L, 5L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 2L, 1L, 3L, 3L, 1L, 7L, 4L, 4L, 2L, 0L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 7L, 7L, 3L, 0L, 2L, 2L, 2L, 6L, 6L, 0L, 5L, 7L, 3L, 1L, 5L, 3L, 7L, 1L, 1L, 7L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 0L, 1L, 3L, 5L, 1L, 2L, 1L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 3L, 7L, 3L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 3L, 7L, 7L, 5L, 4L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 0L, 1L, 1L), p = 0:890, Dim = c(8L, 890L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "135", "136", "137", "138", "139", "140", "141", "142", "143", "145", "146", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", "186", "188", "189", "190", "191", "192", "193", "194", "195", "196", "197", "198", "199", "200", "202", "203", "204", "205", "206", "207", "208", "209", "210", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "232", "233", "234", "235", "236", "237", "238", "239", "240", "241", "242", "243", "244", "245", "246", "247", "248", "249", "250", "251", "252", "253", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "266", "267", "269", "270", "271", "272", "273", "274", "275", "276", "277", "278", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "321", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "368", "369", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "388", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "439", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "487", "488", "489", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "518", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "579", "580", "581", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "630", "631", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "665", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "705", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "719", "720", "721", "722", "723", "724", "725", "726", "727", "728", "729", "730", "731", "732", "733", "734", "735", "736", "737", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "778", "779", "780", "781", "782", "783", "784", "785", "786", "787", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "814", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "847", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 8L), lower = 0, Lambdat = new("dgCMatrix", i = 0:7, p = 0:8, Dim = c(8L, 8L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list( e15relat = c(2L, 2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 2L, 1L, 8L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 1L, 1L, 8L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 8L, 2L, 1L, 1L, 1L, 4L, 1L, 4L, 1L, 1L, 1L, 8L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 8L, 8L, 2L, 8L, 1L, 1L, 1L, 2L, 4L, 2L, 6L, 2L, 1L, 1L, 2L, 2L, 1L, 3L, 4L, 2L, 2L, 4L, 8L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 8L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 6L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 8L, 8L, 8L, 2L, 2L, 8L, 2L, 8L, 4L, 2L, 2L, 5L, 2L, 1L, 8L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 3L, 2L, 5L, 2L, 3L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 2L, 7L, 3L, 4L, 2L, 1L, 2L, 8L, 4L, 8L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 8L, 1L, 2L, 2L, 8L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 2L, 4L, 8L, 2L, 8L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 8L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 3L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 6L, 3L, 2L, 5L, 4L, 2L, 4L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 4L, 1L, 4L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 1L, 1L, 8L, 3L, 7L, 1L, 2L, 4L, 2L, 2L, 1L, 8L, 2L, 1L, 6L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 5L, 2L, 4L, 8L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 6L, 6L, 2L, 2L, 2L, 8L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 2L, 7L, 5L, 1L, 2L, 8L, 8L, 1L, 2L, 1L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 5L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 4L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 3L, 4L, 8L, 8L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 4L, 6L, 2L, 6L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 4L, 2L, 8L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 8L, 1L, 2L, 4L, 2L, 1L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 5L, 3L, 4L, 2L, 2L, 8L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 8L, 6L, 4L, 8L, 8L, 4L, 4L, 2L, 8L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 1L, 4L, 1L, 2L, 2L, 8L, 2L, 2L, 1L, 8L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 8L, 2L, 2L, 8L, 2L, 8L, 4L, 4L, 4L, 2L, 2L, 8L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 5L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 2L, 2L, 2L, 8L, 8L, 2L, 4L, 2L, 3L, 2L, 1L, 3L, 2L, 4L, 2L, 2L, 2L, 6L, 4L, 1L, 2L, 6L, 5L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 3L, 1L, 6L, 8L, 3L, 4L, 3L, 2L, 2L, 4L, 1L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 8L, 2L, 2L, 4L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 3L, 5L, 2L, 8L, 2L, 8L, 8L, 1L, 4L, 1L, 2L, 4L, 2L, 4L, 6L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 3L, 2L, 4L, 4L, 2L, 8L, 5L, 5L, 3L, 1L, 2L, 8L, 8L, 8L, 2L, 2L, 8L, 8L, 8L, 4L, 1L, 3L, 3L, 3L, 7L, 7L, 1L, 6L, 8L, 4L, 2L, 6L, 4L, 8L, 2L, 2L, 8L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 1L, 2L, 4L, 6L, 2L, 3L, 2L, 8L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 4L, 8L, 4L, 4L, 8L, 8L, 5L, 2L, 5L, 5L, 2L, 2L, 2L, 8L, 8L, 8L, 8L, 4L, 8L, 8L, 6L, 5L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 8L, 2L, 1L, 2L, 2L)), cnms = list( e15relat = "(Intercept)"), Ztlist = list(`1 | e15relat` = new("dgCMatrix", i = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 3L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 6L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 7L, 1L, 0L, 0L, 0L, 3L, 0L, 3L, 0L, 0L, 0L, 7L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 7L, 1L, 7L, 0L, 0L, 0L, 1L, 3L, 1L, 5L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 3L, 1L, 1L, 3L, 7L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 7L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 1L, 1L, 4L, 1L, 0L, 7L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 2L, 1L, 4L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 6L, 2L, 3L, 1L, 0L, 1L, 7L, 3L, 7L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 7L, 0L, 1L, 1L, 7L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 7L, 1L, 7L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 5L, 2L, 1L, 4L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 0L, 3L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 0L, 7L, 2L, 6L, 0L, 1L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 5L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 4L, 1L, 3L, 7L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 7L, 1L, 3L, 0L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 6L, 4L, 0L, 1L, 7L, 7L, 0L, 1L, 0L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 4L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 2L, 3L, 7L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 3L, 5L, 1L, 5L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 3L, 1L, 7L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 7L, 0L, 1L, 3L, 1L, 0L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 4L, 2L, 3L, 1L, 1L, 7L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 5L, 3L, 7L, 7L, 3L, 3L, 1L, 7L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 0L, 3L, 0L, 1L, 1L, 7L, 1L, 1L, 0L, 7L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 3L, 3L, 1L, 1L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 1L, 1L, 0L, 3L, 0L, 0L, 1L, 1L, 1L, 7L, 7L, 1L, 3L, 1L, 2L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 5L, 3L, 0L, 1L, 5L, 4L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 2L, 0L, 5L, 7L, 2L, 3L, 2L, 1L, 1L, 3L, 0L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 7L, 1L, 1L, 3L, 1L, 2L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 7L, 1L, 7L, 7L, 0L, 3L, 0L, 1L, 3L, 1L, 3L, 5L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 2L, 1L, 3L, 3L, 1L, 7L, 4L, 4L, 2L, 0L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 7L, 7L, 3L, 0L, 2L, 2L, 2L, 6L, 6L, 0L, 5L, 7L, 3L, 1L, 5L, 3L, 7L, 1L, 1L, 7L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 0L, 1L, 3L, 5L, 1L, 2L, 1L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 3L, 7L, 3L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 3L, 7L, 7L, 5L, 4L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 0L, 1L, 1L), p = 0:890, Dim = c(8L, 890L), Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "47", "48", "49", "50", "51", "52", 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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(e15relat = 8L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list( action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(action = "message", tol = 1e-04), check.conv.hess = list(action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(neg_c_7 ~ c161sex + (1 | e15relat), data = efc) 12: eval(ei, envir) 13: eval(ei, envir) 14: withVisible(eval(ei, envir)) 15: source(exprs = exprs, local = local, print.eval = print., echo = echo, max.deparse.length = max.deparse.length, width.cutoff = width.cutoff, deparseCtrl = deparseCtrl, skip.echo = skip.echo, ...) 16: (if (getRversion() >= "3.4") withAutoprint else force)({ library(ggeffects) data(efc, package = "ggeffects") efc$e15relat <- as.factor(efc$e15relat) efc$c161sex <- as.factor(efc$c161sex) levels(efc$c161sex) <- c("male", "female") model <- lme4::lmer(neg_c_7 ~ c161sex + (1 | e15relat), data = efc) me <- predict_response(model, terms = "c161sex") head(attributes(me)$rawdata) collapse_by_group(me, model, "e15relat")}) An irrecoverable exception occurred. R is aborting now ... Segmentation fault Package: ggeffects Check: tests New result: ERROR Running ‘testthat.R’ [6s/6s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(ggeffects) > test_check("ggeffects") *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 3L, 1L, 0L, 7L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 3L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 6L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 3L, 0L, 7L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 7L, 1L, 0L, 0L, 0L, 3L, 0L, 7L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 1L, 7L, 0L, 0L, 1L, 3L, 1L, 5L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 3L, 1L, 3L, 7L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 7L, 7L, 1L, 7L, 1L, 7L, 3L, 1L, 1L, 7L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 6L, 2L, 3L, 1L, 0L, 1L, 7L, 3L, 7L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 7L, 0L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 7L, 1L, 7L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 5L, 4L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 0L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 0L, 7L, 2L, 6L, 0L, 1L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 5L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 7L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 7L, 1L, 3L, 0L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 6L, 4L, 0L, 1L, 7L, 7L, 0L, 1L, 0L, 7L, 1L, 1L, 1L, 7L, 4L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 7L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 3L, 5L, 1L, 5L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 3L, 1L, 7L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 3L, 1L, 0L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 4L, 2L, 3L, 1L, 1L, 7L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 5L, 3L, 7L, 7L, 3L, 3L, 1L, 7L, 1L, 3L, 1L, 1L, 5L, 0L, 3L, 0L, 1L, 1L, 7L, 1L, 1L, 0L, 7L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 3L, 3L, 1L, 1L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 0L, 1L, 1L, 0L, 3L, 0L, 0L, 1L, 1L, 1L, 7L, 7L, 1L, 3L, 1L, 2L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 5L, 3L, 0L, 1L, 5L, 4L, 1L, 1L, 0L, 1L, 1L, 3L, 2L, 0L, 5L, 7L, 2L, 3L, 2L, 1L, 1L, 3L, 0L, 4L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 7L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 7L, 1L, 7L, 7L, 0L, 3L, 0L, 1L, 3L, 1L, 3L, 5L, 7L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 1L, 3L, 1L, 7L, 4L, 4L, 2L, 0L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 7L, 7L, 3L, 0L, 2L, 2L, 2L, 6L, 6L, 0L, 5L, 7L, 3L, 5L, 3L, 7L, 1L, 1L, 7L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 0L, 1L, 3L, 5L, 1L, 2L, 1L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 3L, 7L, 3L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 3L, 7L, 7L, 5L, 4L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 0L, 1L, 1L), p = 0:833, Dim = c(8L, 833L), Dimnames = list(c("spouse/partner", "child", "sibling", "daughter or son -in-law", "ancle/aunt", "nephew/niece", "cousin", "other, specify"), c("1", "2", "3", "4", "5", "6", "7", "8", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "47", "50", "51", "52", "53", "54", "55", "56", "57", "59", "60", "62", "64", "65", "66", "67", "68", "69", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "96", "99", "100", "102", "103", "105", "106", "107", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "135", "136", "137", "138", "139", "140", "141", "143", "145", "146", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "164", "165", "166", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "179", "180", "181", "182", "183", "185", "186", "188", "189", "190", "191", "192", "194", "195", "196", "197", "198", "199", "202", "203", "204", "205", "206", "207", "208", "209", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "237", "238", "239", "240", "241", "242", "243", "245", "246", "247", "248", "249", "252", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "267", "269", "270", "271", "272", "273", "274", "275", "276", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "580", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "721", "722", "723", "724", "725", "726", "727", "728", "730", "731", "732", "733", "734", "735", "736", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "779", "780", "781", "782", "784", "785", "786", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:7, p = 0:8, Dim = c(8L, 8L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 833L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(neg_c_7 = c(12, 20, 11, 10, 12, 19, 15, 11, 10, 28, 18, 13, 18, 16, 13, 11, 11, 13, 17, 11, 9, 8, 14, 11, 23, 11, 15, 11, 25, 9, 15, 20, 9, 10, 19, 8, 17, 16, 17, 14, 14, 16, 19, 17, 19, 17, 10, 14, 14, 9, 12, 25, 17, 22, 15, 19, 11, 15, 13, 11, 14, 7, 15, 11, 19, 10, 10, 20, 10, 12, 15, 7, 13, 12, 16, 10, 15, 15, 15, 25, 11, 10, 11, 14, 13, 11, 18, 12, 10, 13, 14, 10, 13, 13, 12, 12, 18, 7, 13, 14, 11, 16, 15, 15, 9, 17, 17, 22, 16, 14, 9, 13, 9, 17, 17, 9, 13, 14, 12, 18, 7, 10, 12, 20, 14, 12, 10, 11, 14, 11, 13, 10, 12, 12, 10, 9, 15, 12, 11, 14, 16, 11, 11, 14, 14, 12, 10, 9, 12, 8, 10, 11, 10, 11, 7, 10, 11, 12, 15, 16, 13, 20, 7, 12, 17, 14, 12, 9, 7, 16, 13, 14, 20, 7, 15, 7, 9, 14, 11, 12, 12, 18, 8, 13, 16, 8, 13, 14, 11, 8, 12, 24, 11, 11, 13, 9, 13, 20, 12, 16, 15, 11, 10, 9, 10, 8, 10, 12, 9, 11, 7, 9, 11, 11, 12, 12, 19, 12, 15, 11, 17, 8, 13, 11, 10, 8, 19, 10, 18, 8, 11, 9, 10, 13, 11, 8, 9, 8, 8, 11, 9, 10, 12, 9, 17, 20, 12, 7, 9, 7, 8, 8, 14, 7, 10, 8, 16, 9, 16, 13, 8, 20, 16, 9, 9, 8, 15, 16, 19, 8, 12, 17, 12, 14, 11, 9, 9, 8, 10, 8, 10, 15, 13, 8, 10, 10, 12, 14, 12, 7, 8, 16, 9, 16, 7, 8, 13, 9, 7, 9, 9, 8, 17, 7, 8, 9, 7, 10, 10, 11, 18, 9, 10, 13, 8, 12, 9, 7, 10, 8, 7, 7, 9, 8, 10, 18, 16, 11, 15, 10, 9, 9, 12, 18, 12, 13, 17, 9, 8, 7, 12, 14, 15, 10, 9, 17, 17, 21, 17, 17, 15, 9, 12, 12, 22, 11, 14, 11, 9, 8, 12, 13, 13, 9, 10, 12, 9, 11, 13, 11, 17, 10, 18, 10, 16, 10, 10, 14, 11, 11, 10, 11, 8, 15, 12, 10, 13, 13, 13, 12, 13, 10, 15, 18, 11, 14, 11, 12, 12, 14, 15, 8, 10, 9, 7, 8, 18, 7, 7, 7, 11, 8, 11, 11, 16, 13, 14, 14, 7, 9, 7, 17, 7, 10, 9, 9, 7, 12, 14, 7, 10, 20, 7, 8, 9, 11, 10, 8, 10, 8, 12, 10, 14, 11, 8, 11, 17, 10, 22, 8, 9, 19, 11, 18, 16, 18, 15, 19, 10, 13, 15, 7, 8, 22, 8, 19, 10, 7, 25, 9, 11, 7, 11, 9, 8, 12, 9, 20, 7, 12, 9, 9, 8, 10, 8, 17, 12, 9, 9, 8, 7, 8, 9, 17, 17, 8, 9, 9, 10, 9, 7, 8, 27, 25, 14, 28, 16, 11, 15, 7, 9, 7, 7, 8, 13, 19, 15, 14, 20, 20, 14, 10, 11, 15, 14, 13, 16, 13, 10, 17, 10, 12, 11, 7, 8, 15, 13, 11, 7, 18, 17, 12, 18, 17, 13, 10, 19, 7, 8, 10, 18, 17, 19, 8, 12, 10, 14, 10, 13, 9, 8, 8, 9, 15, 11, 7, 8, 11, 21, 8, 11, 10, 10, 11, 9, 13, 17, 9, 8, 8, 9, 13, 14, 14, 9, 12, 8, 11, 10, 11, 11, 10, 10, 10, 12, 13, 7, 8, 12, 8, 8, 13, 10, 12, 16, 8, 13, 10, 9, 10, 12, 11, 9, 10, 9, 13, 10, 9, 10, 8, 7, 8, 7, 7, 9, 8, 11, 9, 10, 12, 11, 7, 16, 12, 10, 8, 12, 23, 10, 10, 18, 13, 12, 18, 9, 13, 9, 7, 10, 7, 8, 17, 11, 14, 11, 23, 14, 8, 8, 12, 9, 15, 17, 13, 13, 10, 10, 11, 25, 10, 12, 10, 12, 8, 14, 8, 18, 8, 15, 11, 12, 10, 7, 10, 13, 14, 7, 7, 14, 11, 11, 11, 9, 7, 15, 9, 9, 18, 8, 15, 7, 8, 13, 8, 8, 9, 7, 7, 9, 8, 8, 13, 10, 13, 11, 8, 12, 9, 16, 11, 12, 12, 9, 10, 10, 9, 13, 7, 11, 13, 10, 10, 13, 9, 14, 15, 15, 9, 10, 8, 8, 9, 9, 9, 9, 9, 9, 12, 14, 12, 8, 10, 7, 22, 18, 16, 13, 15, 24, 11, 14, 12, 11, 10, 7, 10, 10, 12, 10, 7, 9, 16, 14, 12, 9, 10, 8, 9, 8, 10, 9, 8, 10, 10, 7, 11, 8, 10, 11, 14, 7, 8, 10, 10, 11, 11, 8, 8, 9, 11, 7, 7, 8, 9, 9, 7, 13, 15, 11, 24, 8, 9, 7, 10, 15, 18, 22, 18, 9, 11, 14, 7, 9, 17, 23, 12, 13, 15, 8, 8, 14, 10, 10), c12hour = c(16, 148, 70, 168, 168, 16, 161, 110, 40, 100, 25, 25, 24, 56, 20, 25, 126, 168, 118, 150, 50, 18, 168, 15, 168, 7, 35, 168, 150, 168, 168, 119, 168, 168, 168, 28, 168, 30, 14, 168, 168, 50, 168, 168, 60, 168, 168, 24, 168, 150, 168, 168, 168, 168, 168, 50, 80, 15, 7, 21, 168, 6, 30, 168, 42, 30, 85, 35, 70, 9, 168, 77, 24, 91, 6, 22, 168, 168, 168, 168, 50, 40, 9, 25, 5, 24, 7, 168, 4, 168, 15, 168, 20, 59, 24, 7, 100, 168, 168, 28, 20, 50, 89, 168, 12, 24, 91, 168, 168, 168, 11, 35, 10, 125, 140, 28, 84, 15, 14, 24, 4, 140, 168, 6, 20, 65, 35, 168, 77, 168, 42, 4, 168, 168, 42, 6, 168, 70, 15, 30, 9, 35, 28, 168, 168, 15, 6, 14, 35, 7, 12, 50, 6, 22, 6, 168, 28, 10, 91, 168, 24, 168, 14, 28, 16, 168, 168, 28, 160, 39, 15, 10, 168, 70, 50, 12, 10, 168, 168, 168, 12, 8, 21, 24, 15, 8, 16, 56, 42, 4, 25, 35, 30, 6, 110, 30, 24, 14, 4, 20, 10, 50, 10, 18, 15, 6, 17, 14, 10, 30, 10, 10, 84, 15, 21, 11, 8, 5, 12, 10, 20, 12, 24, 27, 14, 18, 14, 6, 21, 16, 15, 20, 10, 22, 35, 168, 168, 40, 40, 50, 20, 20, 6, 5, 48, 168, 6, 8, 43, 90, 100, 8, 15, 5, 8, 10, 30, 168, 20, 30, 30, 12, 30, 30, 14, 15, 50, 20, 25, 40, 9, 18, 25, 100, 6, 25, 20, 10, 28, 10, 30, 6, 40, 7, 8, 15, 4, 4, 168, 7, 22, 30, 15, 30, 20, 25, 20, 20, 25, 14, 30, 20, 15, 6, 5, 50, 8, 20, 14, 18, 16, 20, 15, 25, 18, 22, 18, 48, 60, 10, 7, 5, 5, 25, 40, 49, 4, 70, 6, 7, 40, 50, 30, 70, 14, 70, 7, 6, 14, 10, 5, 11, 120, 18, 6, 20, 15, 35, 15, 15, 120, 28, 10, 120, 100, 18, 8, 40, 140, 6, 11, 15, 80, 5, 6, 40, 5, 7, 4, 24, 28, 25, 140, 14, 40, 5, 20, 168, 40, 80, 120, 160, 7, 7, 4, 6, 14, 7, 28, 25, 7, 21, 30, 25, 65, 18, 40, 20, 80, 7, 50, 30, 10, 8, 6, 6, 42, 10, 30, 15, 10, 10, 130, 160, 168, 24, 24, 30, 20, 10, 7, 120, 6, 6, 10, 20, 5, 60, 20, 6, 10, 84, 8, 168, 40, 40, 20, 12, 10, 14, 28, 12, 28, 11, 16, 12, 22, 17, 16, 50, 6, 5, 45, 16, 15, 20, 20, 8, 8, 15, 10, 15, 27, 14, 28, 168, 21, 12, 62, 20, 7, 10, 20, 8, 9, 12, 10, 35, 5, 18, 15, 6, 8, 12, 25, 10, 40, 6, 168, 4, 168, 24, 25, 40, 18, 20, 40, 6, 5, 30, 14, 8, 28, 45, 40, 30, 28, 50, 84, 12, 40, 10, 15, 40, 24, 168, 160, 162, 100, 110, 140, 25, 15, 35, 40, 25, 12, 35, 10, 30, 10, 100, 12, 56, 40, 30, 60, 100, 20, 35, 168, 22, 60, 24, 20, 70, 25, 6, 18, 10, 15, 20, 20, 10, 22, 15, 48, 80, 77, 6, 6, 8, 20, 20, 8, 6, 8, 15, 10, 10, 15, 8, 6, 8, 28, 20, 70, 8, 7, 10, 10, 10, 168, 40, 40, 30, 30, 28, 14, 40, 10, 4, 14, 42, 42, 65, 5, 10, 45, 55, 50, 35, 40, 15, 8, 25, 5, 4, 14, 20, 10, 50, 16, 22, 100, 100, 30, 120, 100, 10, 120, 6, 6, 5, 10, 9, 9, 12, 20, 10, 160, 100, 20, 56, 7, 35, 120, 60, 10, 14, 21, 10, 7, 18, 4, 10, 6, 10, 30, 10, 9, 36, 15, 35, 21, 168, 168, 10, 6, 8, 15, 84, 45, 40, 90, 35, 5, 20, 35, 8, 30, 4, 84, 25, 60, 6, 26, 12, 25, 15, 50, 18, 12, 22, 21, 70, 168, 5, 30, 70, 168, 9, 6, 4, 20, 8, 14, 9, 6, 14, 7, 6, 20, 20, 48, 10, 5, 6, 8, 8, 8, 8, 4, 8, 25, 20, 6, 28, 70, 8, 28, 14, 4, 5, 6, 7, 140, 4, 8, 7, 8, 7, 30, 40, 50, 35, 42, 40, 168, 150, 168, 168, 168, 14, 6, 8, 10, 6, 30, 8, 10, 10, 12, 20, 15, 20, 15, 20, 25, 7, 4, 20, 10, 50, 20, 25, 5, 7, 5, 12, 35, 35, 30, 40, 15, 10, 8, 5, 14, 6, 14, 7, 20, 6, 10, 30, 14, 10, 10, 28, 8, 6, 20, 5, 7, 20, 18, 12, 17, 14, 5, 6, 4, 4, 6, 10, 6, 14, 30, 35, 10, 100, 8, 10, 20, 40, 40, 40, 6, 30, 28, 20, 25, 30, 50, 20, 15, 110, 28, 85, 160, 10, 8), e42dep = c(3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 1L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 3L, 4L, 2L, 3L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 2L, 4L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 2L, 3L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 1L, 2L, 3L, 3L, 4L, 3L, 3L, 4L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 2L, 2L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 3L, 4L, 1L, 4L, 2L, 4L, 3L, 3L, 4L, 3L, 3L, 4L, 2L, 4L, 3L, 2L, 4L, 4L, 4L, 4L, 3L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 3L, 4L, 4L, 3L, 4L, 3L, 3L, 3L, 3L, 4L, 4L, 3L, 4L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 2L, 3L, 3L, 4L, 4L, 3L, 3L, 2L, 4L, 2L, 4L, 3L, 4L, 3L, 3L, 4L, 4L, 3L, 3L, 4L, 4L, 4L, 2L, 3L, 4L, 4L, 4L, 2L, 3L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 1L, 3L, 3L, 2L, 3L, 1L, 2L, 3L, 3L, 4L, 1L, 3L, 3L, 4L, 2L, 2L, 2L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 4L, 4L, 2L, 2L, 3L, 4L, 3L, 2L, 3L, 3L, 2L, 2L, 4L, 4L, 3L, 2L, 2L, 3L, 4L, 2L, 3L, 1L, 3L, 3L, 3L, 4L, 3L, 3L, 4L, 4L, 3L, 2L, 3L, 2L, 4L, 2L, 3L, 3L, 3L, 1L, 1L, 2L, 4L, 4L, 4L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 4L, 3L, 4L, 1L, 2L, 4L, 2L, 2L, 2L, 3L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 2L, 3L, 2L, 1L, 1L, 2L, 2L, 4L, 4L, 1L, 2L, 2L, 2L, 3L, 4L, 4L, 4L, 3L, 3L, 4L, 3L, 2L, 2L, 3L, 4L, 4L, 3L, 1L, 3L, 2L, 4L, 2L, 2L, 4L, 2L, 4L, 4L, 4L, 2L, 1L, 2L, 4L, 2L, 4L, 3L, 4L, 1L, 1L, 2L, 2L, 3L, 2L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 4L, 4L, 2L, 4L, 4L, 4L, 1L, 3L, 2L, 2L, 3L, 2L, 3L, 4L, 3L, 3L, 2L, 3L, 3L, 2L, 4L, 3L, 4L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 4L, 2L, 4L, 3L, 3L, 3L, 2L, 4L, 3L, 4L, 4L, 4L, 1L, 3L, 2L, 4L, 1L, 1L, 1L, 1L, 1L, 4L, 2L, 1L, 3L, 4L, 3L, 4L, 2L, 3L, 3L, 3L, 2L, 3L, 4L, 2L, 3L, 2L, 2L, 3L, 3L, 2L, 4L, 4L, 3L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 4L, 2L, 2L, 4L, 3L, 2L, 2L, 3L, 1L, 2L, 3L, 2L, 4L, 1L, 4L, 3L, 2L, 2L, 3L, 4L, 3L, 4L, 2L, 3L, 2L, 3L, 3L, 2L, 4L, 3L, 2L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 2L, 4L, 2L, 4L, 2L, 3L, 1L, 2L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 4L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 4L, 4L, 4L, 1L, 4L, 4L, 3L, 4L, 4L, 4L, 2L, 4L, 4L, 3L, 4L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 4L, 4L, 4L, 4L, 4L, 3L, 3L, 3L, 3L, 3L, 1L, 3L, 3L, 4L, 3L, 4L, 4L, 2L, 4L, 2L, 3L, 4L, 3L, 3L, 3L, 2L, 3L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 4L, 2L, 2L, 2L, 4L, 4L, 4L, 1L, 4L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 3L, 4L, 4L, 1L, 4L, 4L, 1L, 3L, 1L, 2L, 2L, 4L, 3L, 1L, 3L, 3L, 2L, 4L, 4L, 3L, 4L, 3L, 4L, 4L, 3L, 4L, 3L, 4L, 3L, 2L, 1L, 2L, 4L, 2L, 2L, 3L, 1L, 2L, 4L, 3L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 3L, 4L, 3L, 2L, 4L, 2L, 3L, 3L, 4L, 2L, 4L, 2L, 3L, 3L, 2L, 1L, 4L, 3L, 3L, 3L, 4L, 2L, 2L, 2L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 1L, 2L, 4L, 4L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 2L, 3L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 2L, 4L, 1L, 1L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 1L, 3L, 2L, 4L, 3L, 4L, 2L, 3L, 4L, 3L, 4L, 3L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 1L, 3L, 1L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 4L, 1L, 3L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 3L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 2L, 2L, 3L, 1L, 2L, 3L, 3L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, 4L, 3L, 4L, 2L, 3L, 1L, 2L, 3L, 3L, 2L, 4L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 4L, 2L, 4L, 3L, 3L, 4L, 1L, 2L), c161sex = c(2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 1, 2, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 1, 1, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 2, 1, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 1, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 1, 2, 1, 1, 1, 2, 1, 2, 2, 2, 1, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 1, 2, 2, 2, 2, 1, 1, 2, 2, 2, 1, 1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 2, 1, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 2, 2, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 1, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 2, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2), c172code = c(2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 1L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 1L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 2L, 3L, 3L, 1L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 2L, 1L, 3L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 3L, 2L, 2L, 1L, 3L, 3L, 1L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 1L, 3L, 2L, 3L, 2L, 2L, 1L, 3L, 1L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 3L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 1L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 3L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 3L, 1L, 3L, 2L, 2L, 3L, 3L, 1L, 3L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 3L, 3L, 3L, 2L, 1L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 3L, 2L, 1L, 2L, 2L, 2L, 3L, 1L, 1L, 2L, 2L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 2L, 3L, 1L, 1L, 3L, 3L, 3L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 3L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 3L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 3L, 2L, 2L, 1L, 1L, 3L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 3L, 2L, 1L, 3L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 3L, 1L, 2L, 2L, 3L, 3L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 3L, 1L, 1L, 3L, 3L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 1L, 2L, 2L, 1L, 2L, 3L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 1L, 3L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 3L, 2L, 3L, 2L, 1L, 3L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 3L, 2L, 1L, 2L, 3L, 3L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 3L, 2L, 2L, 1L, 2L, 3L, 2L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 2L, 3L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 3L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 2L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 3L, 3L, 2L, 2L, 3L, 3L, 3L, 2L, 2L, 3L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 2L), grp = c(2L, 2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 1L, 8L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 4L, 1L, 8L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 8L, 2L, 1L, 1L, 1L, 4L, 1L, 8L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 8L, 2L, 8L, 1L, 1L, 2L, 4L, 2L, 6L, 2L, 1L, 1L, 2L, 2L, 1L, 3L, 4L, 2L, 4L, 8L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 2L, 1L, 2L, 2L, 8L, 8L, 8L, 2L, 8L, 2L, 8L, 4L, 2L, 2L, 8L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 3L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 2L, 7L, 3L, 4L, 2L, 1L, 2L, 8L, 4L, 8L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 8L, 1L, 2L, 2L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 2L, 4L, 8L, 2L, 8L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 8L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 3L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 6L, 5L, 4L, 2L, 4L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 1L, 1L, 8L, 3L, 7L, 1L, 2L, 4L, 2L, 2L, 1L, 8L, 2L, 1L, 6L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 4L, 8L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 6L, 6L, 2L, 2L, 2L, 8L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 2L, 7L, 5L, 1L, 2L, 8L, 8L, 1L, 2L, 1L, 8L, 2L, 2L, 2L, 8L, 5L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 4L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 4L, 8L, 8L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 4L, 6L, 2L, 6L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 4L, 2L, 8L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 2L, 1L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 5L, 3L, 4L, 2L, 2L, 8L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 8L, 6L, 4L, 8L, 8L, 4L, 4L, 2L, 8L, 2L, 4L, 2L, 2L, 6L, 1L, 4L, 1L, 2L, 2L, 8L, 2L, 2L, 1L, 8L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 8L, 2L, 2L, 8L, 2L, 8L, 4L, 4L, 4L, 2L, 2L, 8L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 5L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 2L, 2L, 2L, 8L, 8L, 2L, 4L, 2L, 3L, 2L, 1L, 3L, 2L, 4L, 2L, 2L, 2L, 6L, 4L, 1L, 2L, 6L, 5L, 2L, 2L, 1L, 2L, 2L, 4L, 3L, 1L, 6L, 8L, 3L, 4L, 3L, 2L, 2L, 4L, 1L, 5L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 8L, 2L, 2L, 4L, 2L, 3L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 3L, 5L, 2L, 8L, 2L, 8L, 8L, 1L, 4L, 1L, 2L, 4L, 2L, 4L, 6L, 8L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 4L, 2L, 8L, 5L, 5L, 3L, 1L, 2L, 8L, 8L, 8L, 2L, 2L, 8L, 8L, 8L, 4L, 1L, 3L, 3L, 3L, 7L, 7L, 1L, 6L, 8L, 4L, 6L, 4L, 8L, 2L, 2L, 8L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 1L, 2L, 4L, 6L, 2L, 3L, 2L, 8L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 4L, 8L, 4L, 4L, 8L, 8L, 5L, 2L, 5L, 5L, 2L, 2L, 2L, 8L, 8L, 8L, 8L, 4L, 8L, 8L, 6L, 5L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 8L, 2L, 1L, 2L, 2L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0), reTrms = list(Zt = new("dgCMatrix", i = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 3L, 1L, 0L, 7L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 3L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 6L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 3L, 0L, 7L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 7L, 1L, 0L, 0L, 0L, 3L, 0L, 7L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 1L, 7L, 0L, 0L, 1L, 3L, 1L, 5L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 3L, 1L, 3L, 7L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 7L, 7L, 1L, 7L, 1L, 7L, 3L, 1L, 1L, 7L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 6L, 2L, 3L, 1L, 0L, 1L, 7L, 3L, 7L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 7L, 0L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 7L, 1L, 7L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 5L, 4L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 0L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 0L, 7L, 2L, 6L, 0L, 1L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 5L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 7L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 7L, 1L, 3L, 0L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 6L, 4L, 0L, 1L, 7L, 7L, 0L, 1L, 0L, 7L, 1L, 1L, 1L, 7L, 4L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 7L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 3L, 5L, 1L, 5L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 3L, 1L, 7L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 3L, 1L, 0L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 4L, 2L, 3L, 1L, 1L, 7L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 5L, 3L, 7L, 7L, 3L, 3L, 1L, 7L, 1L, 3L, 1L, 1L, 5L, 0L, 3L, 0L, 1L, 1L, 7L, 1L, 1L, 0L, 7L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 3L, 3L, 1L, 1L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 0L, 1L, 1L, 0L, 3L, 0L, 0L, 1L, 1L, 1L, 7L, 7L, 1L, 3L, 1L, 2L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 5L, 3L, 0L, 1L, 5L, 4L, 1L, 1L, 0L, 1L, 1L, 3L, 2L, 0L, 5L, 7L, 2L, 3L, 2L, 1L, 1L, 3L, 0L, 4L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 7L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 7L, 1L, 7L, 7L, 0L, 3L, 0L, 1L, 3L, 1L, 3L, 5L, 7L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 1L, 3L, 1L, 7L, 4L, 4L, 2L, 0L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 7L, 7L, 3L, 0L, 2L, 2L, 2L, 6L, 6L, 0L, 5L, 7L, 3L, 5L, 3L, 7L, 1L, 1L, 7L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 0L, 1L, 3L, 5L, 1L, 2L, 1L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 3L, 7L, 3L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 3L, 7L, 7L, 5L, 4L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 0L, 1L, 1L), p = 0:833, Dim = c(8L, 833L), Dimnames = list(c("spouse/partner", "child", "sibling", "daughter or son -in-law", "ancle/aunt", "nephew/niece", "cousin", "other, specify"), c("1", "2", "3", "4", "5", "6", "7", "8", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "47", "50", "51", "52", "53", "54", "55", "56", "57", "59", "60", "62", "64", "65", "66", "67", "68", "69", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "96", "99", "100", "102", "103", "105", "106", "107", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "135", "136", "137", "138", "139", "140", "141", "143", "145", "146", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "164", "165", "166", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "179", "180", "181", "182", "183", "185", "186", "188", "189", "190", "191", "192", "194", "195", "196", "197", "198", "199", "202", "203", "204", "205", "206", "207", "208", "209", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "237", "238", "239", "240", "241", "242", "243", "245", "246", "247", "248", "249", "252", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "267", "269", "270", "271", "272", "273", "274", "275", "276", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", "465", "466", "467", "468", "469", "470", "471", "472", "473", "474", "475", "476", "477", "478", "479", "480", "481", "482", "483", "484", "485", "486", "490", "491", "492", "493", "494", "495", "496", "497", "498", "499", "500", "501", "502", "503", "504", "505", "506", "507", "508", "509", "510", "511", "512", "513", "514", "515", "516", "517", "519", "520", "521", "522", "523", "524", "525", "526", "527", "528", "529", "530", "531", "532", "533", "534", "535", "536", "537", "538", "539", "540", "542", "543", "544", "545", "546", "547", "548", "549", "550", "551", "552", "553", "554", "555", "556", "557", "558", "559", "560", "561", "562", "563", "564", "565", "566", "567", "568", "569", "570", "571", "572", "573", "574", "575", "576", "577", "578", "580", "582", "583", "584", "585", "586", "587", "588", "589", "590", "591", "592", "593", "594", "595", "596", "597", "598", "599", "600", "601", "602", "603", "604", "605", "606", "607", "608", "609", "610", "611", "612", "613", "614", "615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "721", "722", "723", "724", "725", "726", "727", "728", "730", "731", "732", "733", "734", "735", "736", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", "766", "767", "768", "769", "770", "771", "772", "773", "774", "775", "776", "777", "779", "780", "781", "782", "784", "785", "786", "788", "789", "790", "791", "792", "793", "794", "795", "796", "797", "798", "799", "800", "801", "802", "803", "804", "805", "806", "807", "808", "809", "810", "811", "812", "813", "815", "816", "817", "818", "819", "820", "821", "822", "823", "824", "825", "826", "827", "828", "829", "830", "831", "832", "833", "834", "835", "836", "837", "838", "839", "840", "841", "842", "843", "844", "845", "846", "848", "849", "850", "851", "852", "853", "854", "855", "856", "857", "858", "859", "860", "861", "862", "863", "864", "865", "866", "867", "868", "869", "870", "871", "872", "873", "874", "875", "876", "877", "878", "879", "880", "881", "882", "883", "884", "885", "886", "887", "888", "889", "890", "891", "892", "893", "894", "895", "896", "897", "898", "899", "900", "901", "902" )), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 8L), lower = 0, Lambdat = new("dgCMatrix", i = 0:7, p = 0:8, Dim = c(8L, 8L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list(grp = c(2L, 2L, 1L, 1L, 2L, 2L, 1L, 4L, 2L, 1L, 8L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 1L, 4L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 4L, 1L, 8L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 8L, 2L, 1L, 1L, 1L, 4L, 1L, 8L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 1L, 1L, 8L, 2L, 8L, 1L, 1L, 2L, 4L, 2L, 6L, 2L, 1L, 1L, 2L, 2L, 1L, 3L, 4L, 2L, 4L, 8L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 3L, 2L, 2L, 1L, 2L, 2L, 8L, 8L, 8L, 2L, 8L, 2L, 8L, 4L, 2L, 2L, 8L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 3L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 2L, 7L, 3L, 4L, 2L, 1L, 2L, 8L, 4L, 8L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 8L, 1L, 2L, 2L, 6L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 2L, 4L, 8L, 2L, 8L, 2L, 4L, 2L, 2L, 4L, 2L, 2L, 2L, 2L, 4L, 8L, 2L, 4L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 3L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 6L, 5L, 4L, 2L, 4L, 2L, 4L, 4L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 2L, 4L, 1L, 2L, 2L, 2L, 2L, 8L, 2L, 2L, 1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 5L, 1L, 1L, 8L, 3L, 7L, 1L, 2L, 4L, 2L, 2L, 1L, 8L, 2L, 1L, 6L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 5L, 2L, 4L, 8L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 6L, 6L, 2L, 2L, 2L, 8L, 2L, 4L, 1L, 2L, 2L, 1L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 2L, 7L, 5L, 1L, 2L, 8L, 8L, 1L, 2L, 1L, 8L, 2L, 2L, 2L, 8L, 5L, 2L, 8L, 2L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 4L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 3L, 4L, 8L, 8L, 2L, 2L, 4L, 2L, 2L, 2L, 4L, 2L, 2L, 6L, 2L, 2L, 2L, 4L, 6L, 2L, 6L, 1L, 3L, 2L, 2L, 1L, 2L, 2L, 8L, 2L, 2L, 4L, 2L, 4L, 2L, 8L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 4L, 2L, 1L, 8L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 5L, 3L, 4L, 2L, 2L, 8L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 8L, 6L, 4L, 8L, 8L, 4L, 4L, 2L, 8L, 2L, 4L, 2L, 2L, 6L, 1L, 4L, 1L, 2L, 2L, 8L, 2L, 2L, 1L, 8L, 3L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 8L, 2L, 2L, 8L, 2L, 8L, 4L, 4L, 4L, 2L, 2L, 8L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 5L, 1L, 2L, 2L, 1L, 4L, 1L, 1L, 2L, 2L, 2L, 8L, 8L, 2L, 4L, 2L, 3L, 2L, 1L, 3L, 2L, 4L, 2L, 2L, 2L, 6L, 4L, 1L, 2L, 6L, 5L, 2L, 2L, 1L, 2L, 2L, 4L, 3L, 1L, 6L, 8L, 3L, 4L, 3L, 2L, 2L, 4L, 1L, 5L, 2L, 2L, 2L, 2L, 2L, 1L, 4L, 8L, 2L, 2L, 4L, 2L, 3L, 2L, 2L, 2L, 2L, 4L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 2L, 2L, 2L, 3L, 2L, 5L, 2L, 3L, 5L, 2L, 8L, 2L, 8L, 8L, 1L, 4L, 1L, 2L, 4L, 2L, 4L, 6L, 8L, 2L, 2L, 2L, 1L, 2L, 2L, 3L, 2L, 4L, 2L, 8L, 5L, 5L, 3L, 1L, 2L, 8L, 8L, 8L, 2L, 2L, 8L, 8L, 8L, 4L, 1L, 3L, 3L, 3L, 7L, 7L, 1L, 6L, 8L, 4L, 6L, 4L, 8L, 2L, 2L, 8L, 2L, 2L, 2L, 5L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 1L, 2L, 4L, 6L, 2L, 3L, 2L, 8L, 8L, 8L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 8L, 4L, 4L, 8L, 4L, 4L, 8L, 8L, 5L, 2L, 5L, 5L, 2L, 2L, 2L, 8L, 8L, 8L, 8L, 4L, 8L, 8L, 6L, 5L, 8L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 3L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 8L, 2L, 1L, 2L, 2L)), cnms = list(grp = "(Intercept)"), Ztlist = list(`1 | grp` = new("dgCMatrix", i = c(1L, 1L, 0L, 0L, 1L, 1L, 0L, 3L, 1L, 0L, 7L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 0L, 3L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 0L, 0L, 0L, 6L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 3L, 0L, 7L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 0L, 0L, 7L, 1L, 0L, 0L, 0L, 3L, 0L, 7L, 0L, 0L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 0L, 0L, 7L, 1L, 7L, 0L, 0L, 1L, 3L, 1L, 5L, 1L, 0L, 0L, 1L, 1L, 0L, 2L, 3L, 1L, 3L, 7L, 0L, 1L, 1L, 1L, 0L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 3L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 7L, 7L, 1L, 7L, 1L, 7L, 3L, 1L, 1L, 7L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 1L, 6L, 2L, 3L, 1L, 0L, 1L, 7L, 3L, 7L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 7L, 0L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 1L, 3L, 7L, 1L, 7L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 1L, 1L, 3L, 7L, 1L, 3L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 2L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 5L, 4L, 3L, 1L, 3L, 1L, 3L, 3L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 1L, 3L, 0L, 1L, 1L, 1L, 1L, 7L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 4L, 0L, 0L, 7L, 2L, 6L, 0L, 1L, 3L, 1L, 1L, 0L, 7L, 1L, 0L, 5L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 1L, 1L, 4L, 1L, 3L, 7L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 5L, 5L, 1L, 1L, 1L, 7L, 1L, 3L, 0L, 1L, 1L, 0L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 1L, 6L, 4L, 0L, 1L, 7L, 7L, 0L, 1L, 0L, 7L, 1L, 1L, 1L, 7L, 4L, 1L, 7L, 1L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 3L, 1L, 1L, 1L, 0L, 1L, 0L, 1L, 2L, 3L, 7L, 7L, 1L, 1L, 3L, 1L, 1L, 1L, 3L, 1L, 1L, 5L, 1L, 1L, 1L, 3L, 5L, 1L, 5L, 0L, 2L, 1L, 1L, 0L, 1L, 1L, 7L, 1L, 1L, 3L, 1L, 3L, 1L, 7L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 3L, 1L, 0L, 7L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 4L, 2L, 3L, 1L, 1L, 7L, 1L, 3L, 1L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 7L, 5L, 3L, 7L, 7L, 3L, 3L, 1L, 7L, 1L, 3L, 1L, 1L, 5L, 0L, 3L, 0L, 1L, 1L, 7L, 1L, 1L, 0L, 7L, 2L, 1L, 1L, 1L, 1L, 0L, 1L, 0L, 7L, 1L, 1L, 7L, 1L, 7L, 3L, 3L, 3L, 1L, 1L, 7L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 0L, 1L, 1L, 0L, 3L, 0L, 0L, 1L, 1L, 1L, 7L, 7L, 1L, 3L, 1L, 2L, 1L, 0L, 2L, 1L, 3L, 1L, 1L, 1L, 5L, 3L, 0L, 1L, 5L, 4L, 1L, 1L, 0L, 1L, 1L, 3L, 2L, 0L, 5L, 7L, 2L, 3L, 2L, 1L, 1L, 3L, 0L, 4L, 1L, 1L, 1L, 1L, 1L, 0L, 3L, 7L, 1L, 1L, 3L, 1L, 2L, 1L, 1L, 1L, 1L, 3L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L, 4L, 1L, 2L, 4L, 1L, 7L, 1L, 7L, 7L, 0L, 3L, 0L, 1L, 3L, 1L, 3L, 5L, 7L, 1L, 1L, 1L, 0L, 1L, 1L, 2L, 1L, 3L, 1L, 7L, 4L, 4L, 2L, 0L, 1L, 7L, 7L, 7L, 1L, 1L, 7L, 7L, 7L, 3L, 0L, 2L, 2L, 2L, 6L, 6L, 0L, 5L, 7L, 3L, 5L, 3L, 7L, 1L, 1L, 7L, 1L, 1L, 1L, 4L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 0L, 1L, 3L, 5L, 1L, 2L, 1L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 7L, 3L, 3L, 7L, 3L, 3L, 7L, 7L, 4L, 1L, 4L, 4L, 1L, 1L, 1L, 7L, 7L, 7L, 7L, 3L, 7L, 7L, 5L, 4L, 7L, 1L, 1L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 2L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 3L, 1L, 7L, 1L, 0L, 1L, 1L), p = 0:833, Dim = c(8L, 833L), Dimnames = list(c("spouse/partner", "child", "sibling", "daughter or son -in-law", "ancle/aunt", "nephew/niece", "cousin", "other, specify"), c("1", "2", "3", "4", "5", "6", "7", "8", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "47", "50", "51", "52", "53", "54", "55", "56", "57", "59", "60", "62", "64", "65", "66", "67", "68", "69", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "96", "99", "100", "102", "103", "105", "106", "107", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "135", "136", "137", "138", "139", "140", "141", "143", "145", "146", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "164", "165", "166", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "179", "180", "181", "182", "183", "185", "186", "188", "189", "190", "191", "192", "194", "195", "196", "197", "198", "199", "202", "203", "204", "205", "206", "207", "208", "209", "211", "212", "213", "214", "215", "216", "217", "218", "219", "220", "221", "222", "223", "224", "225", "226", "227", "228", "229", "230", "231", "237", "238", "239", "240", "241", "242", "243", "245", "246", "247", "248", "249", "252", "254", "255", "256", "257", "258", "259", "260", "261", "262", "263", "264", "265", "267", "269", "270", "271", "272", "273", "274", "275", "276", "280", "281", "282", "283", "284", "285", "286", "287", "288", "289", "290", "291", "292", "293", "294", "295", "296", "297", "298", "299", "300", "301", "302", "303", "304", "305", "306", "307", "308", "309", "310", "311", "312", "313", "314", "315", "316", "317", "318", "319", "320", "322", "323", "324", "325", "326", "327", "328", "329", "330", "331", "332", "333", "334", "335", "336", "337", "338", "339", "340", "341", "342", "343", "344", "345", "346", "347", "348", "349", "350", "351", "352", "353", "354", "355", "356", "357", "358", "359", "360", "361", "362", "363", "364", "365", "366", "367", "370", "371", "372", "373", "374", "375", "376", "377", "378", "379", "380", "381", "382", "383", "384", "385", "386", "387", "389", "390", "391", "392", "393", "394", "395", "396", "397", "398", "399", "400", "401", "402", "403", "404", "405", "406", "407", "408", "409", "410", "411", "412", "413", "414", "415", "416", "417", "418", "419", "420", "421", "422", "423", "424", "425", "426", "427", "428", "429", "430", "431", "432", "433", "434", "435", "436", "437", "438", "440", "441", "442", "443", "444", "445", "446", "447", "448", "449", "450", "451", "452", "453", "454", "455", "456", "457", "458", "459", "460", "461", "462", "463", "464", 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"615", "616", "617", "618", "619", "620", "621", "622", "623", "624", "625", "626", "627", "628", "629", "632", "633", "634", "635", "636", "637", "638", "639", "640", "641", "642", "643", "644", "645", "646", "647", "648", "649", "650", "651", "652", "653", "654", "655", "656", "657", "658", "659", "660", "661", "662", "663", "664", "666", "667", "668", "669", "670", "671", "672", "673", "674", "675", "676", "677", "678", "679", "680", "681", "682", "683", "684", "685", "686", "687", "688", "689", "690", "691", "692", "693", "694", "695", "696", "697", "698", "699", "700", "701", "702", "703", "704", "706", "707", "708", "709", "710", "711", "712", "713", "714", "715", "716", "717", "718", "721", "722", "723", "724", "725", "726", "727", "728", "730", "731", "732", "733", "734", "735", "736", "738", "739", "740", "741", "742", "743", "744", "745", "746", "747", "748", "749", "750", "751", "752", "753", "754", "755", "756", "757", "758", "759", "760", "761", "762", "763", "764", "765", 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1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(grp = 8L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(neg_c_7 ~ c12hour + e42dep + c161sex + c172code + (1 | grp), data = efc) 12: eval(code, test_env) 13: eval(code, test_env) 14: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error) 15: doTryCatch(return(expr), name, parentenv, handler) 16: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 17: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 18: doTryCatch(return(expr), name, parentenv, handler) 19: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 20: tryCatchList(expr, classes, parentenv, handlers) 21: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 22: test_code(desc, code, env = parent.frame(), default_reporter = local_interactive_reporter()) 23: test_that("ggpredict, condition", { data(efc, package = "ggeffects") efc$grp <- datawizard::to_factor(efc$e15relat) efc$e42dep <- datawizard::to_factor(efc$e42dep) efc$c172code <- datawizard::to_factor(efc$c172code) focal <- c("c12hour [20,30,40]", "c172code") at_list <- list(c12hour = c(20, 30, 40), c172code = levels(efc$c172code)) model <- lme4::lmer(neg_c_7 ~ c12hour + e42dep + c161sex + c172code + (1 | grp), data = efc) out1 <- ggaverage(model, focal) out2 <- marginaleffects::avg_predictions(model, variables = at_list) expect_equal(out1$predicted, out2$estimate, tolerance = 1e-04) expect_equal(out1$conf.low, out2$conf.low, tolerance = 1e-04) expect_snapshot(print(out1)) expect_error(ggaverage(model, focal, type = "random"), regex = "`type = \"random\"` is not supported") expect_error(ggaverage(model, focal, type = "link"), regex = "`type = \"link\"` is not supported") expect_error(predict_response(model, focal, margin = "ame", type = "random"), regex = "`type = \"random\"` is not supported") expect_error(predict_response(model, focal, margin = "ame", type = "link"), regex = "`type = \"link\"` is not supported") model <- lm(neg_c_7 ~ c12hour + e42dep + c161sex + c172code, data = efc) out1 <- ggaverage(model, focal) out2 <- marginaleffects::avg_predictions(model, variables = at_list) expect_equal(out1$predicted, out2$estimate, tolerance = 1e-04) expect_equal(out1$conf.low, out2$conf.low, tolerance = 1e-04) out1 <- ggaverage(model, focal, ci_level = NA) expect_named(out1, c("x", "predicted", "group")) skip_if_not_installed("sandwich") out3 <- ggaverage(model, focal, vcov_fun = "HC0") expect_equal(out3$conf.low, c(10.9112, 11.2802, 11.5731, 11.0061, 11.3741, 11.6526, 11.0946, 11.4556, 11.7258), tolerance = 1e-04)}) 24: eval(code, test_env) 25: eval(code, test_env) 26: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error) 27: doTryCatch(return(expr), name, parentenv, handler) 28: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 29: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 30: doTryCatch(return(expr), name, parentenv, handler) 31: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 32: tryCatchList(expr, classes, parentenv, handlers) 33: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 34: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 35: source_file(path, env = env(env), desc = desc, error_call = error_call) 36: FUN(X[[i]], ...) 37: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 38: doTryCatch(return(expr), name, parentenv, handler) 39: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 40: tryCatchList(expr, classes, parentenv, handlers) 41: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 42: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 43: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 44: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 45: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 46: test_check("ggeffects") An irrecoverable exception occurred. R is aborting now ... Segmentation fault Package: insight [Old version: 0.19.9, New version: 0.19.10] Check: examples New result: ERROR Running examples in ‘insight-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: all_models_equal > ### Title: Checks if all objects are models of same class > ### Aliases: all_models_equal all_models_same_class > > ### ** Examples > > ## Don't show: > if (require("lme4", quietly = TRUE)) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf + ## End(Don't show) + data(mtcars) + data(sleepstudy, package = "lme4") + + m1 <- lm(mpg ~ wt + cyl + vs, data = mtcars) + m2 <- lm(mpg ~ wt + cyl, data = mtcars) + m3 <- lme4::lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy) + m4 <- glm(formula = vs ~ wt, family = binomial(), data = mtcars) + + all_models_same_class(m1, m2) + all_models_same_class(m1, m2, m3) + all_models_same_class(m1, m4, m2, m3, verbose = TRUE) + all_models_same_class(m1, m4, mtcars, m2, m3, verbose = TRUE) + ## Don't show: + }) # examplesIf > data(mtcars) > data(sleepstudy, package = "lme4") > m1 <- lm(mpg ~ wt + cyl + vs, data = mtcars) > m2 <- lm(mpg ~ wt + cyl, data = mtcars) > m3 <- lme4::lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy) *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L), p = 0:180, Dim = c(18L, 180L), Dimnames = list( c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337", "349", "350", "351", "352", "369", "370", "371", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:17, p = 0:18, Dim = c(18L, 18L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 180L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Reaction = c(249.56, 258.7047, 250.8006, 321.4398, 356.8519, 414.6901, 382.2038, 290.1486, 430.5853, 466.3535, 222.7339, 205.2658, 202.9778, 204.707, 207.7161, 215.9618, 213.6303, 217.7272, 224.2957, 237.3142, 199.0539, 194.3322, 234.32, 232.8416, 229.3074, 220.4579, 235.4208, 255.7511, 261.0125, 247.5153, 321.5426, 300.4002, 283.8565, 285.133, 285.7973, 297.5855, 280.2396, 318.2613, 305.3495, 354.0487, 287.6079, 285, 301.8206, 320.1153, 316.2773, 293.3187, 290.075, 334.8177, 293.7469, 371.5811, 234.8606, 242.8118, 272.9613, 309.7688, 317.4629, 309.9976, 454.1619, 346.8311, 330.3003, 253.8644, 283.8424, 289.555, 276.7693, 299.8097, 297.171, 338.1665, 332.0265, 348.8399, 333.36, 362.0428, 265.4731, 276.2012, 243.3647, 254.6723, 279.0244, 284.1912, 305.5248, 331.5229, 335.7469, 377.299, 241.6083, 273.9472, 254.4907, 270.8021, 251.4519, 254.6362, 245.4523, 235.311, 235.7541, 237.2466, 312.3666, 313.8058, 291.6112, 346.1222, 365.7324, 391.8385, 404.2601, 416.6923, 455.8643, 458.9167, 236.1032, 230.3167, 238.9256, 254.922, 250.7103, 269.7744, 281.5648, 308.102, 336.2806, 351.6451, 256.2968, 243.4543, 256.2046, 255.5271, 268.9165, 329.7247, 379.4445, 362.9184, 394.4872, 389.0527, 250.5265, 300.0576, 269.8939, 280.5891, 271.8274, 304.6336, 287.7466, 266.5955, 321.5418, 347.5655, 221.6771, 298.1939, 326.8785, 346.8555, 348.7402, 352.8287, 354.4266, 360.4326, 375.6406, 388.5417, 271.9235, 268.4369, 257.2424, 277.6566, 314.8222, 317.2135, 298.1353, 348.1229, 340.28, 366.5131, 225.264, 234.5235, 238.9008, 240.473, 267.5373, 344.1937, 281.1481, 347.5855, 365.163, 372.2288, 269.8804, 272.4428, 277.8989, 281.7895, 279.1705, 284.512, 259.2658, 304.6306, 350.7807, 369.4692, 269.4117, 273.474, 297.5968, 310.6316, 287.1726, 329.6076, 334.4818, 343.2199, 369.1417, 364.1236), Days = c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), reTrms = list( Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L), p = 0:180, Dim = c(18L, 180L), Dimnames = list(c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337", "349", "350", "351", "352", "369", "370", "371", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 18L), lower = 0, Lambdat = new("dgCMatrix", i = 0:17, p = 0:18, Dim = c(18L, 18L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list( Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), cnms = list( Subject = "(Intercept)"), Ztlist = list(`1 | Subject` = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L), p = 0:180, Dim = c(18L, 180L), Dimnames = list(c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337", "349", "350", "351", "352", "369", "370", "371", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(Subject = 18L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list( action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(action = "message", tol = 1e-04), check.conv.hess = list(action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy) 12: eval(ei, envir) 13: eval(ei, envir) 14: withVisible(eval(ei, envir)) 15: source(exprs = exprs, local = local, print.eval = print., echo = echo, max.deparse.length = max.deparse.length, width.cutoff = width.cutoff, deparseCtrl = deparseCtrl, skip.echo = skip.echo, ...) 16: (if (getRversion() >= "3.4") withAutoprint else force)({ data(mtcars) data(sleepstudy, package = "lme4") m1 <- lm(mpg ~ wt + cyl + vs, data = mtcars) m2 <- lm(mpg ~ wt + cyl, data = mtcars) m3 <- lme4::lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy) m4 <- glm(formula = vs ~ wt, family = binomial(), data = mtcars) all_models_same_class(m1, m2) all_models_same_class(m1, m2, m3) all_models_same_class(m1, m4, m2, m3, verbose = TRUE) all_models_same_class(m1, m4, mtcars, m2, m3, verbose = TRUE)}) An irrecoverable exception occurred. R is aborting now ... Segmentation fault Package: insight [Old version: 0.19.9, New version: 0.19.10] Check: re-building of vignette outputs New result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘display.Rmd’ using rmarkdown --- finished re-building ‘display.Rmd’ --- re-building ‘export.Rmd’ using rmarkdown --- finished re-building ‘export.Rmd’ --- re-building ‘insight.Rmd’ using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(78L, 105L, 143L, 8L, 105L, 106L, 141L, 84L, 105L, 106L, 143L, 2L, 105L, 106L, 143L, 23L, 105L, 106L, 142L, 4L, 105L, 106L, 145L, 37L, 105L, 106L, 145L, 18L, 105L, 106L, 145L, 2L, 105L, 106L, 143L, 3L, 105L, 106L, 144L, 38L, 107L, 141L, 16L, 107L, 108L, 144L, 79L, 107L, 108L, 144L, 28L, 107L, 108L, 142L, 95L, 107L, 108L, 143L, 68L, 107L, 108L, 144L, 61L, 107L, 108L, 145L, 103L, 107L, 108L, 143L, 53L, 107L, 108L, 144L, 75L, 107L, 108L, 143L, 50L, 109L, 145L, 103L, 109L, 110L, 143L, 71L, 109L, 110L, 143L, 67L, 109L, 110L, 141L, 32L, 109L, 110L, 142L, 30L, 109L, 110L, 145L, 94L, 109L, 110L, 142L, 1L, 109L, 110L, 142L, 85L, 109L, 110L, 144L, 12L, 109L, 110L, 145L, 56L, 111L, 143L, 69L, 111L, 112L, 145L, 15L, 111L, 112L, 143L, 50L, 111L, 112L, 145L, 1L, 111L, 112L, 142L, 25L, 111L, 112L, 144L, 7L, 111L, 112L, 144L, 76L, 111L, 112L, 141L, 49L, 111L, 112L, 144L, 90L, 111L, 112L, 141L, 98L, 113L, 141L, 0L, 113L, 114L, 141L, 55L, 113L, 114L, 142L, 50L, 113L, 114L, 145L, 61L, 113L, 114L, 145L, 68L, 113L, 114L, 144L, 54L, 113L, 114L, 145L, 97L, 113L, 114L, 145L, 36L, 113L, 114L, 144L, 79L, 113L, 114L, 144L, 31L, 115L, 141L, 46L, 115L, 116L, 145L, 29L, 115L, 116L, 144L, 103L, 115L, 116L, 143L, 11L, 115L, 116L, 144L, 44L, 115L, 116L, 143L, 13L, 115L, 116L, 141L, 48L, 115L, 116L, 143L, 31L, 115L, 116L, 141L, 91L, 115L, 116L, 142L, 65L, 117L, 144L, 11L, 117L, 118L, 144L, 44L, 117L, 118L, 143L, 5L, 117L, 118L, 141L, 11L, 117L, 118L, 144L, 94L, 117L, 118L, 142L, 58L, 117L, 118L, 141L, 10L, 117L, 118L, 143L, 42L, 117L, 118L, 141L, 91L, 117L, 118L, 142L, 56L, 119L, 143L, 25L, 119L, 120L, 144L, 66L, 119L, 120L, 145L, 47L, 119L, 120L, 141L, 40L, 119L, 120L, 144L, 64L, 119L, 120L, 143L, 52L, 119L, 120L, 143L, 102L, 119L, 120L, 141L, 53L, 119L, 120L, 144L, 52L, 119L, 120L, 143L, 27L, 121L, 141L, 72L, 121L, 122L, 144L, 37L, 121L, 122L, 145L, 12L, 121L, 122L, 145L, 94L, 121L, 122L, 142L, 97L, 121L, 122L, 145L, 92L, 121L, 122L, 144L, 37L, 121L, 122L, 145L, 25L, 121L, 122L, 144L, 104L, 121L, 122L, 145L, 79L, 123L, 144L, 33L, 123L, 124L, 143L, 87L, 123L, 124L, 142L, 24L, 123L, 124L, 143L, 100L, 123L, 124L, 143L, 26L, 123L, 124L, 145L, 69L, 123L, 124L, 145L, 33L, 123L, 124L, 143L, 30L, 123L, 124L, 145L, 92L, 123L, 124L, 144L, 52L, 125L, 143L, 73L, 125L, 126L, 145L, 84L, 125L, 126L, 143L, 61L, 125L, 126L, 145L, 22L, 125L, 126L, 141L, 12L, 125L, 126L, 145L, 34L, 125L, 126L, 144L, 87L, 125L, 126L, 142L, 29L, 125L, 126L, 144L, 101L, 125L, 126L, 144L, 74L, 127L, 142L, 23L, 127L, 128L, 142L, 94L, 127L, 128L, 142L, 43L, 127L, 128L, 142L, 88L, 127L, 128L, 144L, 91L, 127L, 128L, 142L, 83L, 127L, 128L, 141L, 62L, 127L, 128L, 142L, 35L, 127L, 128L, 141L, 49L, 127L, 128L, 144L, 98L, 129L, 141L, 17L, 129L, 130L, 141L, 38L, 129L, 130L, 141L, 21L, 129L, 130L, 145L, 96L, 129L, 130L, 144L, 60L, 129L, 130L, 143L, 54L, 129L, 130L, 145L, 81L, 129L, 130L, 144L, 24L, 129L, 130L, 143L, 86L, 129L, 130L, 141L, 54L, 131L, 145L, 70L, 131L, 132L, 142L, 96L, 131L, 132L, 144L, 47L, 131L, 132L, 141L, 82L, 131L, 132L, 145L, 19L, 131L, 132L, 141L, 86L, 131L, 132L, 141L, 57L, 131L, 132L, 145L, 101L, 131L, 132L, 144L, 51L, 131L, 132L, 141L, 16L, 133L, 144L, 99L, 133L, 134L, 142L, 91L, 133L, 134L, 142L, 82L, 133L, 134L, 145L, 93L, 133L, 134L, 141L, 77L, 133L, 134L, 142L, 76L, 133L, 134L, 141L, 97L, 133L, 134L, 145L, 46L, 133L, 134L, 145L, 64L, 133L, 134L, 143L, 103L, 135L, 143L, 51L, 135L, 136L, 141L, 16L, 135L, 136L, 144L, 82L, 135L, 136L, 145L, 39L, 135L, 136L, 142L, 30L, 135L, 136L, 145L, 45L, 135L, 136L, 144L, 22L, 135L, 136L, 141L, 50L, 135L, 136L, 145L, 30L, 135L, 136L, 145L, 70L, 137L, 142L, 6L, 137L, 138L, 143L, 57L, 137L, 138L, 145L, 59L, 137L, 138L, 142L, 20L, 137L, 138L, 144L, 35L, 137L, 138L, 141L, 80L, 137L, 138L, 142L, 68L, 137L, 138L, 144L, 63L, 137L, 138L, 143L, 19L, 137L, 138L, 141L, 41L, 139L, 145L, 14L, 139L, 140L, 142L, 83L, 139L, 140L, 141L, 30L, 139L, 140L, 145L, 95L, 139L, 140L, 143L, 47L, 139L, 140L, 141L, 21L, 139L, 140L, 145L, 9L, 139L, 140L, 142L, 89L, 139L, 140L, 145L, 101L, 139L, 140L, 144L), p = c(0L, 3L, 7L, 11L, 15L, 19L, 23L, 27L, 31L, 35L, 39L, 42L, 46L, 50L, 54L, 58L, 62L, 66L, 70L, 74L, 78L, 81L, 85L, 89L, 93L, 97L, 101L, 105L, 109L, 113L, 117L, 120L, 124L, 128L, 132L, 136L, 140L, 144L, 148L, 152L, 156L, 159L, 163L, 167L, 171L, 175L, 179L, 183L, 187L, 191L, 195L, 198L, 202L, 206L, 210L, 214L, 218L, 222L, 226L, 230L, 234L, 237L, 241L, 245L, 249L, 253L, 257L, 261L, 265L, 269L, 273L, 276L, 280L, 284L, 288L, 292L, 296L, 300L, 304L, 308L, 312L, 315L, 319L, 323L, 327L, 331L, 335L, 339L, 343L, 347L, 351L, 354L, 358L, 362L, 366L, 370L, 374L, 378L, 382L, 386L, 390L, 393L, 397L, 401L, 405L, 409L, 413L, 417L, 421L, 425L, 429L, 432L, 436L, 440L, 444L, 448L, 452L, 456L, 460L, 464L, 468L, 471L, 475L, 479L, 483L, 487L, 491L, 495L, 499L, 503L, 507L, 510L, 514L, 518L, 522L, 526L, 530L, 534L, 538L, 542L, 546L, 549L, 553L, 557L, 561L, 565L, 569L, 573L, 577L, 581L, 585L, 588L, 592L, 596L, 600L, 604L, 608L, 612L, 616L, 620L, 624L, 627L, 631L, 635L, 639L, 643L, 647L, 651L, 655L, 659L, 663L, 666L, 670L, 674L, 678L, 682L, 686L, 690L, 694L, 698L, 702L), Dim = c(146L, 180L), Dimnames = list(c("1:1", "1:2", "1:3", "1:4", "1:5", "2:1", "2:3", "2:4", "3:1", "3:2", "3:3", "3:4", "3:5", "4:1", "4:2", "4:3", "4:4", "5:1", "5:5", "6:1", "6:4", "6:5", "7:1", "7:2", "7:3", "7:4", "7:5", "8:1", "8:2", "8:4", "8:5", "9:1", "9:2", "9:3", "9:4", "10:1", "10:4", "10:5", "11:1", "11:2", "11:4", "11:5", "12:1", "12:2", "12:3", "12:4", "12:5", "13:1", "13:3", "13:4", "13:5", "14:1", "14:3", "14:4", "14:5", "15:2", "15:3", "15:5", "16:1", "16:2", "16:3", "16:5", "17:2", "17:3", "18:3", "18:4", "18:5", "19:1", "19:4", "19:5", "20:2", "20:3", "20:4", "20:5", "21:2", "21:3", "22:1", "22:2", "22:3", "22:4", "23:2", "23:4", "23:5", "24:1", "24:3", "24:4", "25:1", "25:2", "25:4", "25:5", "26:1", "26:2", "26:4", "27:1", "27:2", "27:3", "27:4", "27:5", "28:1", "29:2", "29:3", "29:4", "30:1", "30:3", "30:5", "308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372", "1", "2", "3", "4", "5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1), factors = list()), theta = c(1, 1, 0, 1, 1), Lambdat = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 105L, 106L, 107L, 107L, 108L, 109L, 109L, 110L, 111L, 111L, 112L, 113L, 113L, 114L, 115L, 115L, 116L, 117L, 117L, 118L, 119L, 119L, 120L, 121L, 121L, 122L, 123L, 123L, 124L, 125L, 125L, 126L, 127L, 127L, 128L, 129L, 129L, 130L, 131L, 131L, 132L, 133L, 133L, 134L, 135L, 135L, 136L, 137L, 137L, 138L, 139L, 139L, 140L, 141L, 142L, 143L, 144L, 145L), p = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 108L, 109L, 111L, 112L, 114L, 115L, 117L, 118L, 120L, 121L, 123L, 124L, 126L, 127L, 129L, 130L, 132L, 133L, 135L, 136L, 138L, 139L, 141L, 142L, 144L, 145L, 147L, 148L, 150L, 151L, 153L, 154L, 156L, 157L, 159L, 160L, 161L, 162L, 163L, 164L), Dim = c(146L, 146L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 5L, 5L, 5L, 5L, 5L), n = 180L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Reaction = c(249.56, 258.7047, 250.8006, 321.4398, 356.8519, 414.6901, 382.2038, 290.1486, 430.5853, 466.3535, 222.7339, 205.2658, 202.9778, 204.707, 207.7161, 215.9618, 213.6303, 217.7272, 224.2957, 237.3142, 199.0539, 194.3322, 234.32, 232.8416, 229.3074, 220.4579, 235.4208, 255.7511, 261.0125, 247.5153, 321.5426, 300.4002, 283.8565, 285.133, 285.7973, 297.5855, 280.2396, 318.2613, 305.3495, 354.0487, 287.6079, 285, 301.8206, 320.1153, 316.2773, 293.3187, 290.075, 334.8177, 293.7469, 371.5811, 234.8606, 242.8118, 272.9613, 309.7688, 317.4629, 309.9976, 454.1619, 346.8311, 330.3003, 253.8644, 283.8424, 289.555, 276.7693, 299.8097, 297.171, 338.1665, 332.0265, 348.8399, 333.36, 362.0428, 265.4731, 276.2012, 243.3647, 254.6723, 279.0244, 284.1912, 305.5248, 331.5229, 335.7469, 377.299, 241.6083, 273.9472, 254.4907, 270.8021, 251.4519, 254.6362, 245.4523, 235.311, 235.7541, 237.2466, 312.3666, 313.8058, 291.6112, 346.1222, 365.7324, 391.8385, 404.2601, 416.6923, 455.8643, 458.9167, 236.1032, 230.3167, 238.9256, 254.922, 250.7103, 269.7744, 281.5648, 308.102, 336.2806, 351.6451, 256.2968, 243.4543, 256.2046, 255.5271, 268.9165, 329.7247, 379.4445, 362.9184, 394.4872, 389.0527, 250.5265, 300.0576, 269.8939, 280.5891, 271.8274, 304.6336, 287.7466, 266.5955, 321.5418, 347.5655, 221.6771, 298.1939, 326.8785, 346.8555, 348.7402, 352.8287, 354.4266, 360.4326, 375.6406, 388.5417, 271.9235, 268.4369, 257.2424, 277.6566, 314.8222, 317.2135, 298.1353, 348.1229, 340.28, 366.5131, 225.264, 234.5235, 238.9008, 240.473, 267.5373, 344.1937, 281.1481, 347.5855, 365.163, 372.2288, 269.8804, 272.4428, 277.8989, 281.7895, 279.1705, 284.512, 259.2658, 304.6306, 350.7807, 369.4692, 269.4117, 273.474, 297.5968, 310.6316, 287.1726, 329.6076, 334.4818, 343.2199, 369.1417, 364.1236), Days = c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), `I(Days^2)` = c(0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81), `log1p(Weeks)` = c(0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468), cat = c(1L, 4L, 4L, 3L, 3L, 1L, 1L, 2L, 4L, 2L, 2L, 2L, 2L, 2L, 4L, 2L, 4L, 3L, 2L, 2L, 1L, 2L, 4L, 3L, 2L, 4L, 2L, 1L, 1L, 2L, 3L, 1L, 4L, 2L, 4L, 1L, 4L, 1L, 1L, 1L, 1L, 4L, 3L, 1L, 2L, 2L, 1L, 3L, 2L, 4L, 1L, 3L, 1L, 1L, 3L, 1L, 1L, 2L, 4L, 2L, 2L, 1L, 4L, 1L, 1L, 3L, 2L, 4L, 4L, 1L, 3L, 4L, 2L, 1L, 4L, 1L, 2L, 1L, 2L, 3L, 4L, 2L, 2L, 4L, 4L, 4L, 2L, 3L, 3L, 1L, 4L, 2L, 3L, 3L, 2L, 2L, 4L, 4L, 3L, 2L, 4L, 3L, 2L, 3L, 1L, 1L, 1L, 4L, 1L, 2L, 4L, 1L, 2L, 1L, 1L, 3L, 4L, 4L, 4L, 1L, 3L, 4L, 1L, 1L, 4L, 3L, 3L, 1L, 4L, 1L, 1L, 3L, 4L, 3L, 1L, 2L, 4L, 3L, 4L, 1L, 4L, 1L, 3L, 4L, 4L, 3L, 1L, 2L, 3L, 1L, 4L, 3L, 4L, 2L, 1L, 1L, 1L, 2L, 3L, 1L, 3L, 4L, 3L, 3L, 2L, 4L, 1L, 1L, 1L, 1L, 2L, 3L, 2L, 2L, 3L, 3L, 4L, 1L, 3L, 4L), mygrp = c(3L, 1L, 3L, 3L, 2L, 5L, 5L, 5L, 3L, 4L, 1L, 4L, 4L, 2L, 3L, 4L, 5L, 3L, 4L, 3L, 5L, 3L, 3L, 1L, 2L, 5L, 2L, 2L, 4L, 5L, 3L, 5L, 3L, 5L, 2L, 4L, 4L, 1L, 4L, 1L, 1L, 1L, 2L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 1L, 5L, 4L, 3L, 4L, 3L, 1L, 3L, 1L, 2L, 4L, 4L, 3L, 1L, 4L, 2L, 1L, 3L, 1L, 2L, 3L, 4L, 5L, 1L, 4L, 3L, 3L, 1L, 4L, 3L, 1L, 4L, 5L, 5L, 2L, 5L, 4L, 5L, 4L, 5L, 4L, 3L, 2L, 3L, 3L, 5L, 5L, 3L, 5L, 4L, 3L, 5L, 3L, 5L, 1L, 5L, 4L, 2L, 4L, 4L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 1L, 1L, 1L, 5L, 4L, 3L, 5L, 4L, 3L, 1L, 5L, 2L, 4L, 1L, 5L, 1L, 1L, 5L, 4L, 1L, 4L, 2L, 2L, 5L, 1L, 2L, 1L, 5L, 5L, 3L, 3L, 1L, 4L, 5L, 2L, 5L, 4L, 1L, 5L, 5L, 2L, 3L, 5L, 2L, 4L, 1L, 2L, 4L, 3L, 1L, 5L, 2L, 1L, 5L, 3L, 1L, 5L, 2L, 5L, 4L), mysubgrp = c(22L, 3L, 24L, 1L, 7L, 1L, 10L, 5L, 1L, 1L, 11L, 4L, 22L, 8L, 27L, 19L, 16L, 30L, 14L, 21L, 13L, 30L, 20L, 19L, 9L, 8L, 27L, 1L, 24L, 3L, 15L, 19L, 4L, 13L, 1L, 7L, 2L, 22L, 13L, 26L, 28L, 1L, 15L, 13L, 16L, 19L, 14L, 27L, 10L, 22L, 9L, 12L, 8L, 30L, 3L, 12L, 4L, 13L, 9L, 26L, 18L, 3L, 12L, 2L, 3L, 27L, 16L, 3L, 12L, 26L, 15L, 7L, 18L, 13L, 11L, 18L, 14L, 30L, 14L, 14L, 8L, 20L, 10L, 3L, 27L, 27L, 26L, 10L, 7L, 30L, 22L, 9L, 25L, 7L, 29L, 7L, 19L, 9L, 8L, 26L, 14L, 20L, 24L, 16L, 7L, 3L, 9L, 25L, 8L, 29L, 21L, 7L, 27L, 12L, 25L, 26L, 24L, 17L, 10L, 13L, 28L, 5L, 11L, 6L, 27L, 16L, 14L, 23L, 7L, 25L, 14L, 20L, 27L, 13L, 23L, 6L, 25L, 15L, 29L, 14L, 4L, 29L, 26L, 23L, 27L, 22L, 22L, 27L, 12L, 18L, 30L, 14L, 4L, 23L, 11L, 8L, 12L, 7L, 13L, 8L, 20L, 2L, 15L, 16L, 6L, 10L, 23L, 19L, 17L, 6L, 11L, 4L, 24L, 8L, 27L, 13L, 6L, 3L, 25L, 29L), Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 1, 4, 9, 16, 25, 36, 49, 64, 81, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0.133531392624523, 0.251314428280906, 0.356674943938732, 0.451985123743057, 0.538996500732687, 0.619039208406223, 0.693147180559945, 0.762140052046897, 0.826678573184468, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1), reTrms = list(Zt = new("dgCMatrix", i = c(78L, 105L, 143L, 8L, 105L, 106L, 141L, 84L, 105L, 106L, 143L, 2L, 105L, 106L, 143L, 23L, 105L, 106L, 142L, 4L, 105L, 106L, 145L, 37L, 105L, 106L, 145L, 18L, 105L, 106L, 145L, 2L, 105L, 106L, 143L, 3L, 105L, 106L, 144L, 38L, 107L, 141L, 16L, 107L, 108L, 144L, 79L, 107L, 108L, 144L, 28L, 107L, 108L, 142L, 95L, 107L, 108L, 143L, 68L, 107L, 108L, 144L, 61L, 107L, 108L, 145L, 103L, 107L, 108L, 143L, 53L, 107L, 108L, 144L, 75L, 107L, 108L, 143L, 50L, 109L, 145L, 103L, 109L, 110L, 143L, 71L, 109L, 110L, 143L, 67L, 109L, 110L, 141L, 32L, 109L, 110L, 142L, 30L, 109L, 110L, 145L, 94L, 109L, 110L, 142L, 1L, 109L, 110L, 142L, 85L, 109L, 110L, 144L, 12L, 109L, 110L, 145L, 56L, 111L, 143L, 69L, 111L, 112L, 145L, 15L, 111L, 112L, 143L, 50L, 111L, 112L, 145L, 1L, 111L, 112L, 142L, 25L, 111L, 112L, 144L, 7L, 111L, 112L, 144L, 76L, 111L, 112L, 141L, 49L, 111L, 112L, 144L, 90L, 111L, 112L, 141L, 98L, 113L, 141L, 0L, 113L, 114L, 141L, 55L, 113L, 114L, 142L, 50L, 113L, 114L, 145L, 61L, 113L, 114L, 145L, 68L, 113L, 114L, 144L, 54L, 113L, 114L, 145L, 97L, 113L, 114L, 145L, 36L, 113L, 114L, 144L, 79L, 113L, 114L, 144L, 31L, 115L, 141L, 46L, 115L, 116L, 145L, 29L, 115L, 116L, 144L, 103L, 115L, 116L, 143L, 11L, 115L, 116L, 144L, 44L, 115L, 116L, 143L, 13L, 115L, 116L, 141L, 48L, 115L, 116L, 143L, 31L, 115L, 116L, 141L, 91L, 115L, 116L, 142L, 65L, 117L, 144L, 11L, 117L, 118L, 144L, 44L, 117L, 118L, 143L, 5L, 117L, 118L, 141L, 11L, 117L, 118L, 144L, 94L, 117L, 118L, 142L, 58L, 117L, 118L, 141L, 10L, 117L, 118L, 143L, 42L, 117L, 118L, 141L, 91L, 117L, 118L, 142L, 56L, 119L, 143L, 25L, 119L, 120L, 144L, 66L, 119L, 120L, 145L, 47L, 119L, 120L, 141L, 40L, 119L, 120L, 144L, 64L, 119L, 120L, 143L, 52L, 119L, 120L, 143L, 102L, 119L, 120L, 141L, 53L, 119L, 120L, 144L, 52L, 119L, 120L, 143L, 27L, 121L, 141L, 72L, 121L, 122L, 144L, 37L, 121L, 122L, 145L, 12L, 121L, 122L, 145L, 94L, 121L, 122L, 142L, 97L, 121L, 122L, 145L, 92L, 121L, 122L, 144L, 37L, 121L, 122L, 145L, 25L, 121L, 122L, 144L, 104L, 121L, 122L, 145L, 79L, 123L, 144L, 33L, 123L, 124L, 143L, 87L, 123L, 124L, 142L, 24L, 123L, 124L, 143L, 100L, 123L, 124L, 143L, 26L, 123L, 124L, 145L, 69L, 123L, 124L, 145L, 33L, 123L, 124L, 143L, 30L, 123L, 124L, 145L, 92L, 123L, 124L, 144L, 52L, 125L, 143L, 73L, 125L, 126L, 145L, 84L, 125L, 126L, 143L, 61L, 125L, 126L, 145L, 22L, 125L, 126L, 141L, 12L, 125L, 126L, 145L, 34L, 125L, 126L, 144L, 87L, 125L, 126L, 142L, 29L, 125L, 126L, 144L, 101L, 125L, 126L, 144L, 74L, 127L, 142L, 23L, 127L, 128L, 142L, 94L, 127L, 128L, 142L, 43L, 127L, 128L, 142L, 88L, 127L, 128L, 144L, 91L, 127L, 128L, 142L, 83L, 127L, 128L, 141L, 62L, 127L, 128L, 142L, 35L, 127L, 128L, 141L, 49L, 127L, 128L, 144L, 98L, 129L, 141L, 17L, 129L, 130L, 141L, 38L, 129L, 130L, 141L, 21L, 129L, 130L, 145L, 96L, 129L, 130L, 144L, 60L, 129L, 130L, 143L, 54L, 129L, 130L, 145L, 81L, 129L, 130L, 144L, 24L, 129L, 130L, 143L, 86L, 129L, 130L, 141L, 54L, 131L, 145L, 70L, 131L, 132L, 142L, 96L, 131L, 132L, 144L, 47L, 131L, 132L, 141L, 82L, 131L, 132L, 145L, 19L, 131L, 132L, 141L, 86L, 131L, 132L, 141L, 57L, 131L, 132L, 145L, 101L, 131L, 132L, 144L, 51L, 131L, 132L, 141L, 16L, 133L, 144L, 99L, 133L, 134L, 142L, 91L, 133L, 134L, 142L, 82L, 133L, 134L, 145L, 93L, 133L, 134L, 141L, 77L, 133L, 134L, 142L, 76L, 133L, 134L, 141L, 97L, 133L, 134L, 145L, 46L, 133L, 134L, 145L, 64L, 133L, 134L, 143L, 103L, 135L, 143L, 51L, 135L, 136L, 141L, 16L, 135L, 136L, 144L, 82L, 135L, 136L, 145L, 39L, 135L, 136L, 142L, 30L, 135L, 136L, 145L, 45L, 135L, 136L, 144L, 22L, 135L, 136L, 141L, 50L, 135L, 136L, 145L, 30L, 135L, 136L, 145L, 70L, 137L, 142L, 6L, 137L, 138L, 143L, 57L, 137L, 138L, 145L, 59L, 137L, 138L, 142L, 20L, 137L, 138L, 144L, 35L, 137L, 138L, 141L, 80L, 137L, 138L, 142L, 68L, 137L, 138L, 144L, 63L, 137L, 138L, 143L, 19L, 137L, 138L, 141L, 41L, 139L, 145L, 14L, 139L, 140L, 142L, 83L, 139L, 140L, 141L, 30L, 139L, 140L, 145L, 95L, 139L, 140L, 143L, 47L, 139L, 140L, 141L, 21L, 139L, 140L, 145L, 9L, 139L, 140L, 142L, 89L, 139L, 140L, 145L, 101L, 139L, 140L, 144L), p = c(0L, 3L, 7L, 11L, 15L, 19L, 23L, 27L, 31L, 35L, 39L, 42L, 46L, 50L, 54L, 58L, 62L, 66L, 70L, 74L, 78L, 81L, 85L, 89L, 93L, 97L, 101L, 105L, 109L, 113L, 117L, 120L, 124L, 128L, 132L, 136L, 140L, 144L, 148L, 152L, 156L, 159L, 163L, 167L, 171L, 175L, 179L, 183L, 187L, 191L, 195L, 198L, 202L, 206L, 210L, 214L, 218L, 222L, 226L, 230L, 234L, 237L, 241L, 245L, 249L, 253L, 257L, 261L, 265L, 269L, 273L, 276L, 280L, 284L, 288L, 292L, 296L, 300L, 304L, 308L, 312L, 315L, 319L, 323L, 327L, 331L, 335L, 339L, 343L, 347L, 351L, 354L, 358L, 362L, 366L, 370L, 374L, 378L, 382L, 386L, 390L, 393L, 397L, 401L, 405L, 409L, 413L, 417L, 421L, 425L, 429L, 432L, 436L, 440L, 444L, 448L, 452L, 456L, 460L, 464L, 468L, 471L, 475L, 479L, 483L, 487L, 491L, 495L, 499L, 503L, 507L, 510L, 514L, 518L, 522L, 526L, 530L, 534L, 538L, 542L, 546L, 549L, 553L, 557L, 561L, 565L, 569L, 573L, 577L, 581L, 585L, 588L, 592L, 596L, 600L, 604L, 608L, 612L, 616L, 620L, 624L, 627L, 631L, 635L, 639L, 643L, 647L, 651L, 655L, 659L, 663L, 666L, 670L, 674L, 678L, 682L, 686L, 690L, 694L, 698L, 702L), Dim = c(146L, 180L), Dimnames = list(c("1:1", "1:2", "1:3", "1:4", "1:5", "2:1", "2:3", "2:4", "3:1", "3:2", "3:3", "3:4", "3:5", "4:1", "4:2", "4:3", "4:4", "5:1", "5:5", "6:1", "6:4", "6:5", "7:1", "7:2", "7:3", "7:4", "7:5", "8:1", "8:2", "8:4", "8:5", "9:1", "9:2", "9:3", "9:4", "10:1", "10:4", "10:5", "11:1", "11:2", "11:4", "11:5", "12:1", "12:2", "12:3", "12:4", "12:5", "13:1", "13:3", "13:4", "13:5", "14:1", "14:3", "14:4", "14:5", "15:2", "15:3", "15:5", "16:1", "16:2", "16:3", "16:5", "17:2", "17:3", "18:3", "18:4", "18:5", "19:1", "19:4", "19:5", "20:2", "20:3", "20:4", "20:5", "21:2", "21:3", "22:1", "22:2", "22:3", "22:4", "23:2", "23:4", "23:5", "24:1", "24:3", "24:4", "25:1", "25:2", "25:4", "25:5", "26:1", "26:2", "26:4", "27:1", "27:2", "27:3", "27:4", "27:5", "28:1", "29:2", "29:3", "29:4", "30:1", "30:3", "30:5", "308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372", "1", "2", "3", "4", "5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 3, 1, 1, 1, 4, 1, 1, 1, 5, 1, 1, 1, 6, 1, 1, 1, 7, 1, 1, 1, 8, 1, 1, 1, 9, 1), factors = list()), theta = c(1, 1, 0, 1, 1), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 2L, 3L, 4L, 5L, 5L, 5L, 5L, 5L), Gp = c(0L, 105L, 141L, 146L ), lower = c(0, 0, -Inf, 0, 0), Lambdat = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 105L, 106L, 107L, 107L, 108L, 109L, 109L, 110L, 111L, 111L, 112L, 113L, 113L, 114L, 115L, 115L, 116L, 117L, 117L, 118L, 119L, 119L, 120L, 121L, 121L, 122L, 123L, 123L, 124L, 125L, 125L, 126L, 127L, 127L, 128L, 129L, 129L, 130L, 131L, 131L, 132L, 133L, 133L, 134L, 135L, 135L, 136L, 137L, 137L, 138L, 139L, 139L, 140L, 141L, 142L, 143L, 144L, 145L), p = c(0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 104L, 105L, 106L, 108L, 109L, 111L, 112L, 114L, 115L, 117L, 118L, 120L, 121L, 123L, 124L, 126L, 127L, 129L, 130L, 132L, 133L, 135L, 136L, 138L, 139L, 141L, 142L, 144L, 145L, 147L, 148L, 150L, 151L, 153L, 154L, 156L, 157L, 159L, 160L, 161L, 162L, 163L, 164L), Dim = c(146L, 146L), Dimnames = list( NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1), factors = list()), flist = list( `mysubgrp:mygrp` = c(79L, 9L, 85L, 3L, 24L, 5L, 38L, 19L, 3L, 4L, 39L, 17L, 80L, 29L, 96L, 69L, 62L, 104L, 54L, 76L, 51L, 104L, 72L, 68L, 33L, 31L, 95L, 2L, 86L, 13L, 57L, 70L, 16L, 51L, 2L, 26L, 8L, 77L, 50L, 91L, 99L, 1L, 56L, 51L, 62L, 69L, 55L, 98L, 37L, 80L, 32L, 47L, 30L, 104L, 12L, 45L, 14L, 49L, 32L, 92L, 66L, 12L, 45L, 6L, 12L, 95L, 59L, 11L, 43L, 92L, 57L, 26L, 67L, 48L, 41L, 65L, 53L, 103L, 54L, 53L, 28L, 73L, 38L, 13L, 95L, 98L, 93L, 38L, 26L, 105L, 80L, 34L, 88L, 25L, 101L, 27L, 70L, 34L, 31L, 93L, 53L, 74L, 85L, 62L, 23L, 13L, 35L, 88L, 30L, 102L, 75L, 24L, 95L, 44L, 89L, 92L, 84L, 63L, 36L, 50L, 99L, 18L, 39L, 22L, 97L, 61L, 55L, 82L, 25L, 87L, 55L, 71L, 97L, 48L, 83L, 20L, 87L, 58L, 102L, 52L, 17L, 100L, 92L, 83L, 94L, 78L, 77L, 98L, 47L, 65L, 104L, 52L, 17L, 83L, 40L, 31L, 46L, 23L, 51L, 31L, 71L, 7L, 58L, 60L, 21L, 36L, 81L, 69L, 64L, 20L, 42L, 15L, 84L, 31L, 96L, 48L, 22L, 10L, 90L, 102L), Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L), mygrp = c(3L, 1L, 3L, 3L, 2L, 5L, 5L, 5L, 3L, 4L, 1L, 4L, 4L, 2L, 3L, 4L, 5L, 3L, 4L, 3L, 5L, 3L, 3L, 1L, 2L, 5L, 2L, 2L, 4L, 5L, 3L, 5L, 3L, 5L, 2L, 4L, 4L, 1L, 4L, 1L, 1L, 1L, 2L, 5L, 5L, 4L, 5L, 5L, 4L, 4L, 1L, 5L, 4L, 3L, 4L, 3L, 1L, 3L, 1L, 2L, 4L, 4L, 3L, 1L, 4L, 2L, 1L, 3L, 1L, 2L, 3L, 4L, 5L, 1L, 4L, 3L, 3L, 1L, 4L, 3L, 1L, 4L, 5L, 5L, 2L, 5L, 4L, 5L, 4L, 5L, 4L, 3L, 2L, 3L, 3L, 5L, 5L, 3L, 5L, 4L, 3L, 5L, 3L, 5L, 1L, 5L, 4L, 2L, 4L, 4L, 2L, 2L, 2L, 2L, 4L, 2L, 1L, 2L, 1L, 4L, 1L, 1L, 1L, 5L, 4L, 3L, 5L, 4L, 3L, 1L, 5L, 2L, 4L, 1L, 5L, 1L, 1L, 5L, 4L, 1L, 4L, 2L, 2L, 5L, 1L, 2L, 1L, 5L, 5L, 3L, 3L, 1L, 4L, 5L, 2L, 5L, 4L, 1L, 5L, 5L, 2L, 3L, 5L, 2L, 4L, 1L, 2L, 4L, 3L, 1L, 5L, 2L, 1L, 5L, 3L, 1L, 5L, 2L, 5L, 4L)), cnms = list(`mysubgrp:mygrp` = "(Intercept)", Subject = c("(Intercept)", "Days"), mygrp = "(Intercept)"), Ztlist = list(`1 | mysubgrp:mygrp` = new("dgCMatrix", i = c(78L, 8L, 84L, 2L, 23L, 4L, 37L, 18L, 2L, 3L, 38L, 16L, 79L, 28L, 95L, 68L, 61L, 103L, 53L, 75L, 50L, 103L, 71L, 67L, 32L, 30L, 94L, 1L, 85L, 12L, 56L, 69L, 15L, 50L, 1L, 25L, 7L, 76L, 49L, 90L, 98L, 0L, 55L, 50L, 61L, 68L, 54L, 97L, 36L, 79L, 31L, 46L, 29L, 103L, 11L, 44L, 13L, 48L, 31L, 91L, 65L, 11L, 44L, 5L, 11L, 94L, 58L, 10L, 42L, 91L, 56L, 25L, 66L, 47L, 40L, 64L, 52L, 102L, 53L, 52L, 27L, 72L, 37L, 12L, 94L, 97L, 92L, 37L, 25L, 104L, 79L, 33L, 87L, 24L, 100L, 26L, 69L, 33L, 30L, 92L, 52L, 73L, 84L, 61L, 22L, 12L, 34L, 87L, 29L, 101L, 74L, 23L, 94L, 43L, 88L, 91L, 83L, 62L, 35L, 49L, 98L, 17L, 38L, 21L, 96L, 60L, 54L, 81L, 24L, 86L, 54L, 70L, 96L, 47L, 82L, 19L, 86L, 57L, 101L, 51L, 16L, 99L, 91L, 82L, 93L, 77L, 76L, 97L, 46L, 64L, 103L, 51L, 16L, 82L, 39L, 30L, 45L, 22L, 50L, 30L, 70L, 6L, 57L, 59L, 20L, 35L, 80L, 68L, 63L, 19L, 41L, 14L, 83L, 30L, 95L, 47L, 21L, 9L, 89L, 101L ), p = 0:180, Dim = c(105L, 180L), Dimnames = list(c("1:1", "1:2", "1:3", "1:4", "1:5", "2:1", "2:3", "2:4", "3:1", "3:2", "3:3", "3:4", "3:5", "4:1", "4:2", "4:3", "4:4", "5:1", "5:5", "6:1", "6:4", "6:5", "7:1", "7:2", "7:3", "7:4", "7:5", "8:1", "8:2", "8:4", "8:5", "9:1", "9:2", "9:3", "9:4", "10:1", "10:4", "10:5", "11:1", "11:2", "11:4", "11:5", "12:1", "12:2", "12:3", "12:4", "12:5", "13:1", "13:3", "13:4", "13:5", "14:1", "14:3", "14:4", "14:5", "15:2", "15:3", "15:5", "16:1", "16:2", "16:3", "16:5", "17:2", "17:3", "18:3", "18:4", "18:5", "19:1", "19:4", "19:5", "20:2", "20:3", "20:4", "20:5", "21:2", "21:3", "22:1", "22:2", "22:3", "22:4", "23:2", "23:4", "23:5", "24:1", "24:3", "24:4", "25:1", "25:2", "25:4", "25:5", "26:1", "26:2", "26:4", "27:1", "27:2", "27:3", "27:4", "27:5", "28:1", "29:2", "29:3", "29:4", "30:1", "30:3", "30:5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), `1 + Days | Subject` = new("dgCMatrix", i = c(0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 2L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 2L, 3L, 4L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 4L, 5L, 6L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 6L, 7L, 8L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 8L, 9L, 10L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 10L, 11L, 12L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 12L, 13L, 14L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 14L, 15L, 16L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 16L, 17L, 18L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 18L, 19L, 20L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 20L, 21L, 22L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 22L, 23L, 24L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 24L, 25L, 26L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 26L, 27L, 28L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 28L, 29L, 30L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 30L, 31L, 32L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 32L, 33L, 34L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L, 34L, 35L), p = c(0L, 1L, 3L, 5L, 7L, 9L, 11L, 13L, 15L, 17L, 19L, 20L, 22L, 24L, 26L, 28L, 30L, 32L, 34L, 36L, 38L, 39L, 41L, 43L, 45L, 47L, 49L, 51L, 53L, 55L, 57L, 58L, 60L, 62L, 64L, 66L, 68L, 70L, 72L, 74L, 76L, 77L, 79L, 81L, 83L, 85L, 87L, 89L, 91L, 93L, 95L, 96L, 98L, 100L, 102L, 104L, 106L, 108L, 110L, 112L, 114L, 115L, 117L, 119L, 121L, 123L, 125L, 127L, 129L, 131L, 133L, 134L, 136L, 138L, 140L, 142L, 144L, 146L, 148L, 150L, 152L, 153L, 155L, 157L, 159L, 161L, 163L, 165L, 167L, 169L, 171L, 172L, 174L, 176L, 178L, 180L, 182L, 184L, 186L, 188L, 190L, 191L, 193L, 195L, 197L, 199L, 201L, 203L, 205L, 207L, 209L, 210L, 212L, 214L, 216L, 218L, 220L, 222L, 224L, 226L, 228L, 229L, 231L, 233L, 235L, 237L, 239L, 241L, 243L, 245L, 247L, 248L, 250L, 252L, 254L, 256L, 258L, 260L, 262L, 264L, 266L, 267L, 269L, 271L, 273L, 275L, 277L, 279L, 281L, 283L, 285L, 286L, 288L, 290L, 292L, 294L, 296L, 298L, 300L, 302L, 304L, 305L, 307L, 309L, 311L, 313L, 315L, 317L, 319L, 321L, 323L, 324L, 326L, 328L, 330L, 332L, 334L, 336L, 338L, 340L, 342L), Dim = c(36L, 180L), Dimnames = list( c("308", "308", "309", "309", "310", "310", "330", "330", "331", "331", "332", "332", "333", "333", "334", "334", "335", "335", "337", "337", "349", "349", "350", "350", "351", "351", "352", "352", "369", "369", "370", "370", "371", "371", "372", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9, 1, 1, 1, 1, 2, 1, 3, 1, 4, 1, 5, 1, 6, 1, 7, 1, 8, 1, 9), factors = list()), `1 | mygrp` = new("dgCMatrix", i = c(2L, 0L, 2L, 2L, 1L, 4L, 4L, 4L, 2L, 3L, 0L, 3L, 3L, 1L, 2L, 3L, 4L, 2L, 3L, 2L, 4L, 2L, 2L, 0L, 1L, 4L, 1L, 1L, 3L, 4L, 2L, 4L, 2L, 4L, 1L, 3L, 3L, 0L, 3L, 0L, 0L, 0L, 1L, 4L, 4L, 3L, 4L, 4L, 3L, 3L, 0L, 4L, 3L, 2L, 3L, 2L, 0L, 2L, 0L, 1L, 3L, 3L, 2L, 0L, 3L, 1L, 0L, 2L, 0L, 1L, 2L, 3L, 4L, 0L, 3L, 2L, 2L, 0L, 3L, 2L, 0L, 3L, 4L, 4L, 1L, 4L, 3L, 4L, 3L, 4L, 3L, 2L, 1L, 2L, 2L, 4L, 4L, 2L, 4L, 3L, 2L, 4L, 2L, 4L, 0L, 4L, 3L, 1L, 3L, 3L, 1L, 1L, 1L, 1L, 3L, 1L, 0L, 1L, 0L, 3L, 0L, 0L, 0L, 4L, 3L, 2L, 4L, 3L, 2L, 0L, 4L, 1L, 3L, 0L, 4L, 0L, 0L, 4L, 3L, 0L, 3L, 1L, 1L, 4L, 0L, 1L, 0L, 4L, 4L, 2L, 2L, 0L, 3L, 4L, 1L, 4L, 3L, 0L, 4L, 4L, 1L, 2L, 4L, 1L, 3L, 0L, 1L, 3L, 2L, 0L, 4L, 1L, 0L, 4L, 2L, 0L, 4L, 1L, 4L, 3L), p = 0:180, Dim = c(5L, 180L), Dimnames = list(c("1", "2", "3", "4", "5"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(`mysubgrp:mygrp` = 105L, Subject = 18L, mygrp = 5L )), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lmer(Reaction ~ Days + I(Days^2) + log1p(Weeks) + cat + (1 | mygrp/mysubgrp) + (1 + Days | Subject), data = sleepstudy) 12: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 13: suppressWarnings(lmer(Reaction ~ Days + I(Days^2) + log1p(Weeks) + cat + (1 | mygrp/mysubgrp) + (1 + Days | Subject), data = sleepstudy)) 14: eval(expr, envir, enclos) 15: eval(expr, envir, enclos) 16: eval_with_user_handlers(expr, envir, enclos, user_handlers) 17: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 18: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 19: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 20: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 21: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 22: evaluate::evaluate(...) 23: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 24: in_dir(input_dir(), expr) 25: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 26: eng_r(options) 27: block_exec(params) 28: call_block(x) 29: process_group.block(group) 30: process_group(group) 31: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 32: withCallingHandlers(expr, error = function(e) { loc = paste0(current_lines(), label, sprintf(" (%s)", knit_concord$get("infile"))) message(one_string(handler(e, loc)))}) 33: handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i])) 34: process_file(text, output) 35: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 36: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 37: vweave_rmarkdown(...) 38: engine$weave(file, quiet = quiet, encoding = enc) 39: doTryCatch(return(expr), name, parentenv, handler) 40: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 41: tryCatchList(expr, classes, parentenv, handlers) 42: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) }}, error = function(e) { OK <<- FALSE message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 43: tools:::.buildOneVignette("insight.Rmd", "/home/hornik/tmp/CRAN/insight.Rcheck/vign_test/insight", TRUE, FALSE, "insight", "UTF-8", "/home/hornik/tmp/scratch/RtmpgM6J1Y/file18b82634e30dd2.rds") An irrecoverable exception occurred. R is aborting now ... Segmentation fault SUMMARY: processing the following file failed: ‘insight.Rmd’ Error: Vignette re-building failed. Execution halted Package: multilevelmod Check: re-building of vignette outputs New result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘multilevelmod.Rmd’ using rmarkdown *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L), p = 0:180, Dim = c(18L, 180L), Dimnames = list( c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337", "349", "350", "351", "352", "369", "370", "371", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:17, p = 0:18, Dim = c(18L, 18L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 180L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(Reaction = c(249.56, 258.7047, 250.8006, 321.4398, 356.8519, 414.6901, 382.2038, 290.1486, 430.5853, 466.3535, 222.7339, 205.2658, 202.9778, 204.707, 207.7161, 215.9618, 213.6303, 217.7272, 224.2957, 237.3142, 199.0539, 194.3322, 234.32, 232.8416, 229.3074, 220.4579, 235.4208, 255.7511, 261.0125, 247.5153, 321.5426, 300.4002, 283.8565, 285.133, 285.7973, 297.5855, 280.2396, 318.2613, 305.3495, 354.0487, 287.6079, 285, 301.8206, 320.1153, 316.2773, 293.3187, 290.075, 334.8177, 293.7469, 371.5811, 234.8606, 242.8118, 272.9613, 309.7688, 317.4629, 309.9976, 454.1619, 346.8311, 330.3003, 253.8644, 283.8424, 289.555, 276.7693, 299.8097, 297.171, 338.1665, 332.0265, 348.8399, 333.36, 362.0428, 265.4731, 276.2012, 243.3647, 254.6723, 279.0244, 284.1912, 305.5248, 331.5229, 335.7469, 377.299, 241.6083, 273.9472, 254.4907, 270.8021, 251.4519, 254.6362, 245.4523, 235.311, 235.7541, 237.2466, 312.3666, 313.8058, 291.6112, 346.1222, 365.7324, 391.8385, 404.2601, 416.6923, 455.8643, 458.9167, 236.1032, 230.3167, 238.9256, 254.922, 250.7103, 269.7744, 281.5648, 308.102, 336.2806, 351.6451, 256.2968, 243.4543, 256.2046, 255.5271, 268.9165, 329.7247, 379.4445, 362.9184, 394.4872, 389.0527, 250.5265, 300.0576, 269.8939, 280.5891, 271.8274, 304.6336, 287.7466, 266.5955, 321.5418, 347.5655, 221.6771, 298.1939, 326.8785, 346.8555, 348.7402, 352.8287, 354.4266, 360.4326, 375.6406, 388.5417, 271.9235, 268.4369, 257.2424, 277.6566, 314.8222, 317.2135, 298.1353, 348.1229, 340.28, 366.5131, 225.264, 234.5235, 238.9008, 240.473, 267.5373, 344.1937, 281.1481, 347.5855, 365.163, 372.2288, 269.8804, 272.4428, 277.8989, 281.7895, 279.1705, 284.512, 259.2658, 304.6306, 350.7807, 369.4692, 269.4117, 273.474, 297.5968, 310.6316, 287.1726, 329.6076, 334.4818, 343.2199, 369.1417, 364.1236), Days = c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9), reTrms = list( Zt = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L), p = 0:180, Dim = c(18L, 180L), Dimnames = list(c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337", "349", "350", "351", "352", "369", "370", "371", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 18L), lower = 0, Lambdat = new("dgCMatrix", i = 0:17, p = 0:18, Dim = c(18L, 18L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list( Subject = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L)), cnms = list( Subject = "(Intercept)"), Ztlist = list(`1 | Subject` = new("dgCMatrix", i = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L), p = 0:180, Dim = c(18L, 180L), Dimnames = list(c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337", "349", "350", "351", "352", "369", "370", "371", "372"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(Subject = 18L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "nloptwrap", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list( action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(action = "message", tol = 1e-04), check.conv.hess = list(action = "warning", tol = 1e-06)), optCtrl = list())) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lme4::lmer(formula = Reaction ~ Days + (1 | Subject), data = data) 12: eval_tidy(e, env = envir, ...) 13: eval_mod(fit_call, capture = control$verbosity == 0, catch = control$catch, envir = env, ...) 14: form_form(object = object, control = control, env = eval_env) 15: fit.model_spec(., Reaction ~ Days + (1 | Subject), data = sleepstudy) 16: fit(., Reaction ~ Days + (1 | Subject), data = sleepstudy) 17: lmer_spec %>% fit(Reaction ~ Days + (1 | Subject), data = sleepstudy) 18: eval(expr, envir, enclos) 19: eval(expr, envir, enclos) 20: eval_with_user_handlers(expr, envir, enclos, user_handlers) 21: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)) 22: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler) 23: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)) 24: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))) 25: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing) 26: evaluate::evaluate(...) 27: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)) 28: in_dir(input_dir(), expr) 29: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))) 30: eng_r(options) 31: block_exec(params) 32: call_block(x) 33: process_group.block(group) 34: process_group(group) 35: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)) 36: withCallingHandlers(expr, error = function(e) { loc = paste0(current_lines(), label, sprintf(" (%s)", knit_concord$get("infile"))) message(one_string(handler(e, loc)))}) 37: handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i])) 38: process_file(text, output) 39: knitr::knit(knit_input, knit_output, envir = envir, quiet = quiet) 40: rmarkdown::render(file, encoding = encoding, quiet = quiet, envir = globalenv(), output_dir = getwd(), ...) 41: vweave_rmarkdown(...) 42: engine$weave(file, quiet = quiet, encoding = enc) 43: doTryCatch(return(expr), name, parentenv, handler) 44: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 45: tryCatchList(expr, classes, parentenv, handlers) 46: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))}) 47: tools::buildVignettes(dir = "/home/hornik/tmp/CRAN/multilevelmod.Rcheck/vign_test/multilevelmod", skip = TRUE, ser_elibs = "/home/hornik/tmp/scratch/RtmpEcLubm/file17136b7dc7d721.rds") An irrecoverable exception occurred. R is aborting now ... Segmentation fault Package: tidyposterior Check: tests New result: ERROR Running ‘testthat.R’ [15s/15s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(tidyposterior) > > test_check("tidyposterior") Attaching package: 'rsample' The following object is masked from 'package:testthat': matches SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 5.9e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.59 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.037 seconds (Warm-up) Chain 1: 0.05 seconds (Sampling) Chain 1: 0.087 seconds (Total) Chain 1: SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.6e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: There aren't enough warmup iterations to fit the Chain 2: three stages of adaptation as currently configured. Chain 2: Reducing each adaptation stage to 15%/75%/10% of Chain 2: the given number of warmup iterations: Chain 2: init_buffer = 7 Chain 2: adapt_window = 38 Chain 2: term_buffer = 5 Chain 2: Chain 2: Iteration: 1 / 100 [ 1%] (Warmup) Chain 2: Iteration: 10 / 100 [ 10%] (Warmup) Chain 2: Iteration: 20 / 100 [ 20%] (Warmup) Chain 2: Iteration: 30 / 100 [ 30%] (Warmup) Chain 2: Iteration: 40 / 100 [ 40%] (Warmup) Chain 2: Iteration: 50 / 100 [ 50%] (Warmup) Chain 2: Iteration: 51 / 100 [ 51%] (Sampling) Chain 2: Iteration: 60 / 100 [ 60%] (Sampling) Chain 2: Iteration: 70 / 100 [ 70%] (Sampling) Chain 2: Iteration: 80 / 100 [ 80%] (Sampling) Chain 2: Iteration: 90 / 100 [ 90%] (Sampling) Chain 2: Iteration: 100 / 100 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.044 seconds (Warm-up) Chain 2: 0.035 seconds (Sampling) Chain 2: 0.079 seconds (Total) Chain 2: Attaching package: 'dplyr' The following object is masked from 'package:testthat': matches The following objects are masked from 'package:stats': filter, lag The following objects are masked from 'package:base': intersect, setdiff, setequal, union SAMPLING FOR MODEL 'continuous' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 4.4e-05 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.44 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 3 Chain 1: adapt_window = 20 Chain 1: term_buffer = 2 Chain 1: Chain 1: Iteration: 1 / 50 [ 2%] (Warmup) Chain 1: Iteration: 5 / 50 [ 10%] (Warmup) Chain 1: Iteration: 10 / 50 [ 20%] (Warmup) Chain 1: Iteration: 15 / 50 [ 30%] (Warmup) Chain 1: Iteration: 20 / 50 [ 40%] (Warmup) Chain 1: Iteration: 25 / 50 [ 50%] (Warmup) Chain 1: Iteration: 26 / 50 [ 52%] (Sampling) Chain 1: Iteration: 30 / 50 [ 60%] (Sampling) Chain 1: Iteration: 35 / 50 [ 70%] (Sampling) Chain 1: Iteration: 40 / 50 [ 80%] (Sampling) Chain 1: Iteration: 45 / 50 [ 90%] (Sampling) Chain 1: Iteration: 50 / 50 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 0.023 seconds (Warm-up) Chain 1: 0.027 seconds (Sampling) Chain 1: 0.05 seconds (Total) Chain 1: SAMPLING FOR MODEL 'continuous' NOW (CHAIN 2). Chain 2: Chain 2: Gradient evaluation took 1.6e-05 seconds Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds. Chain 2: Adjust your expectations accordingly! Chain 2: Chain 2: Chain 2: WARNING: There aren't enough warmup iterations to fit the Chain 2: three stages of adaptation as currently configured. Chain 2: Reducing each adaptation stage to 15%/75%/10% of Chain 2: the given number of warmup iterations: Chain 2: init_buffer = 3 Chain 2: adapt_window = 20 Chain 2: term_buffer = 2 Chain 2: Chain 2: Iteration: 1 / 50 [ 2%] (Warmup) Chain 2: Iteration: 5 / 50 [ 10%] (Warmup) Chain 2: Iteration: 10 / 50 [ 20%] (Warmup) Chain 2: Iteration: 15 / 50 [ 30%] (Warmup) Chain 2: Iteration: 20 / 50 [ 40%] (Warmup) Chain 2: Iteration: 25 / 50 [ 50%] (Warmup) Chain 2: Iteration: 26 / 50 [ 52%] (Sampling) Chain 2: Iteration: 30 / 50 [ 60%] (Sampling) Chain 2: Iteration: 35 / 50 [ 70%] (Sampling) Chain 2: Iteration: 40 / 50 [ 80%] (Sampling) Chain 2: Iteration: 45 / 50 [ 90%] (Sampling) Chain 2: Iteration: 50 / 50 [100%] (Sampling) Chain 2: Chain 2: Elapsed Time: 0.064 seconds (Warm-up) Chain 2: 0.048 seconds (Sampling) Chain 2: 0.112 seconds (Total) Chain 2: *** caught segfault *** address (nil), cause 'unknown' Traceback: 1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0) 2: initializePtr() 3: .Object$initialize(...) 4: initialize(value, ...) 5: initialize(value, ...) 6: methods::new(def, ...) 7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L), p = 0:60, Dim = c(10L, 60L), Dimnames = list(c("Bootstrap01", "Bootstrap02", "Bootstrap03", "Bootstrap04", "Bootstrap05", "Bootstrap06", "Bootstrap07", "Bootstrap08", "Bootstrap09", "Bootstrap10"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lambdat = new("dgCMatrix", i = 0:9, p = 0:10, Dim = c(10L, 10L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), n = 60L, X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)) 8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) 9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(statistic = c(0.750886504854972, 0.750886504854972, 0.914393169200316, 0.914393169200316, 0.930526128273827, 0.930526128273827, 0.85451287637185, 0.85451287637185, 0.890497788644392, 0.890497788644392, 0.881321235699056, 0.881321235699056, 0.819815853175291, 0.819815853175291, 0.788204970895633, 0.788204970895633, 0.797630593060337, 0.797630593060337, 0.911033556329665, 0.911033556329665, 0.77523238707581, 0.77523238707581, 0.813648224031658, 0.813648224031658, 0.847129256625848, 0.847129256625848, 0.615041238927041, 0.615041238927041, 0.89193879215884, 0.89193879215884, 0.912584423006321, 0.912584423006321, 0.829368684304247, 0.829368684304247, 0.817620641372368, 0.817620641372368, 0.777085106288371, 0.777085106288371, 0.81150754741765, 0.81150754741765, 0.632941925666677, 0.632941925666677, 0.735560939636358, 0.735560939636358, 0.820133380138555, 0.820133380138555, 0.570703453544257, 0.570703453544257, 0.300068451260742, 0.300068451260742, 0.865094975639108, 0.865094975639108, 0.879885427705731, 0.879885427705731, 0.745809076792071, 0.745809076792071, 0.692200938371518, 0.692200938371518, 0.508621584909905, 0.508621584909905), model = c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), id = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L)), X = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), reTrms = list(Zt = new("dgCMatrix", i = c(0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L), p = 0:60, Dim = c(10L, 60L), Dimnames = list(c("Bootstrap01", "Bootstrap02", "Bootstrap03", "Bootstrap04", "Bootstrap05", "Bootstrap06", "Bootstrap07", "Bootstrap08", "Bootstrap09", "Bootstrap10"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), theta = 1, Lind = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Gp = c(0L, 10L), lower = 0, Lambdat = new("dgCMatrix", i = 0:9, p = 0:10, Dim = c(10L, 10L), Dimnames = list(NULL, NULL), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list()), flist = list(id = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 10L, 10L)), cnms = list(id = "(Intercept)"), Ztlist = list(`1 | id` = new("dgCMatrix", i = c(0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L, 0L, 0L, 1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L, 6L, 6L, 7L, 7L, 8L, 8L, 9L, 9L), p = 0:60, Dim = c(10L, 60L), Dimnames = list(c("Bootstrap01", "Bootstrap02", "Bootstrap03", "Bootstrap04", "Bootstrap05", "Bootstrap06", "Bootstrap07", "Bootstrap08", "Bootstrap09", "Bootstrap10"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60")), x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), factors = list())), nl = c(id = 10L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = 0L, control = list(optimizer = "Nelder_Mead", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "ignore", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "ignore", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "ignore", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "ignore", tol = 1e-04), check.conv.hess = list( action = "ignore", tol = 1e-06)), optCtrl = list( maxfun = 1))) 10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control))) 11: lmer(formula = statistic ~ model + (1 | id), data = list(model = c("one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "one_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "half_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm", "all_lm"), sub_model = c("Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1", "Preprocessor1_Model1"), id = c("Bootstrap01", "Bootstrap01", "Bootstrap02", "Bootstrap02", "Bootstrap03", "Bootstrap03", "Bootstrap04", "Bootstrap04", "Bootstrap05", "Bootstrap05", "Bootstrap06", "Bootstrap06", "Bootstrap07", "Bootstrap07", "Bootstrap08", "Bootstrap08", "Bootstrap09", "Bootstrap09", "Bootstrap10", "Bootstrap10", "Bootstrap01", "Bootstrap01", "Bootstrap02", "Bootstrap02", "Bootstrap03", "Bootstrap03", "Bootstrap04", "Bootstrap04", "Bootstrap05", "Bootstrap05", "Bootstrap06", "Bootstrap06", "Bootstrap07", "Bootstrap07", "Bootstrap08", "Bootstrap08", "Bootstrap09", "Bootstrap09", "Bootstrap10", "Bootstrap10", "Bootstrap01", "Bootstrap01", "Bootstrap02", "Bootstrap02", "Bootstrap03", "Bootstrap03", "Bootstrap04", "Bootstrap04", "Bootstrap05", "Bootstrap05", "Bootstrap06", "Bootstrap06", "Bootstrap07", "Bootstrap07", "Bootstrap08", "Bootstrap08", "Bootstrap09", "Bootstrap09", "Bootstrap10", "Bootstrap10"), statistic = c(0.750886504854972, 0.750886504854972, 0.914393169200316, 0.914393169200316, 0.930526128273827, 0.930526128273827, 0.85451287637185, 0.85451287637185, 0.890497788644392, 0.890497788644392, 0.881321235699056, 0.881321235699056, 0.819815853175291, 0.819815853175291, 0.788204970895633, 0.788204970895633, 0.797630593060337, 0.797630593060337, 0.911033556329665, 0.911033556329665, 0.77523238707581, 0.77523238707581, 0.813648224031658, 0.813648224031658, 0.847129256625848, 0.847129256625848, 0.615041238927041, 0.615041238927041, 0.89193879215884, 0.89193879215884, 0.912584423006321, 0.912584423006321, 0.829368684304247, 0.829368684304247, 0.817620641372368, 0.817620641372368, 0.777085106288371, 0.777085106288371, 0.81150754741765, 0.81150754741765, 0.632941925666677, 0.632941925666677, 0.735560939636358, 0.735560939636358, 0.820133380138555, 0.820133380138555, 0.570703453544257, 0.570703453544257, 0.300068451260742, 0.300068451260742, 0.865094975639108, 0.865094975639108, 0.879885427705731, 0.879885427705731, 0.745809076792071, 0.745809076792071, 0.692200938371518, 0.692200938371518, 0.508621584909905, 0.508621584909905)), control = list( optimizer = "Nelder_Mead", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list( check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "ignore", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "ignore", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list(action = "ignore", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "ignore", tol = 1e-04), check.conv.hess = list( action = "ignore", tol = 1e-06)), optCtrl = list(maxfun = 1))) 12: do.call(lme4_fun, args = fit_args) 13: withCallingHandlers(expr, warning = function(w) if (inherits(w, classes)) tryInvokeRestart("muffleWarning")) 14: suppressWarnings(do.call(lme4_fun, args = fit_args)) 15: ranef_template(object) 16: ranef.stanreg(object) 17: ranef(object) 18: coef_mer(object, ...) 19: coef.stanreg(rsq_mod$stan) 20: coef(rsq_mod$stan) 21: is.data.frame(x) 22: colnames(coef(rsq_mod$stan)$id) 23: eval_bare(expr, quo_get_env(quo)) 24: quasi_label(enquo(object), label, arg = "object") 25: expect_equal(colnames(coef(rsq_mod$stan)$id), c("(Intercept)", "modelhalf_lm", "modelone_lm")) 26: eval(code, test_env) 27: eval(code, test_env) 28: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error) 29: doTryCatch(return(expr), name, parentenv, handler) 30: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 31: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 32: doTryCatch(return(expr), name, parentenv, handler) 33: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 34: tryCatchList(expr, classes, parentenv, handlers) 35: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 36: test_code(desc, code, env = parent.frame(), default_reporter = local_interactive_reporter()) 37: test_that("workflow sets", { lm_spec <- linear_reg() %>% set_engine("lm") set.seed(10) bt <- bootstraps(mtcars, times = 10) wset <- workflow_set(list(one = mpg ~ I(1/sqrt(disp)), half = mpg ~ cyl + I(1/sqrt(disp)) + hp + drat + wt, all = mpg ~ .), list(lm = lm_spec)) %>% workflow_map("fit_resamples", resamples = bt, seed = 1) expect_error(rsq_mod <- perf_mod(wset, seed = 3, refresh = 0, metric = "rsq"), regex = NA) expect_equal(colnames(coef(rsq_mod$stan)$id), c("(Intercept)", "modelhalf_lm", "modelone_lm")) expect_equal(unique(tidy(rsq_mod)$model), c("one_lm", "half_lm", "all_lm")) p_tidy <- autoplot(rsq_mod, type = "posteriors") expect_s3_class(p_tidy, "ggplot") expect_equal(names(p_tidy$data), c("model", "posterior")) expect_equal(rlang::get_expr(p_tidy$mapping$x), rlang::expr(posterior)) expect_equal(rlang::get_expr(p_tidy$mapping$colour), rlang::expr(model)) expect_equal(as.list(p_tidy$facet$params), list()) expect_equal(as.character(p_tidy$labels$x), "rsq") expect_equal(as.character(p_tidy$labels$colour), "model") expect_equal(as.character(p_tidy$labels$y), "density") expect_equal(as.character(p_tidy$labels$fill), "fill") p_int <- autoplot(rsq_mod, type = "intervals") expect_s3_class(p_int, "ggplot") expect_equal(names(p_int$data), c("workflow", ".lower", ".estimate", ".upper", "rank")) expect_equal(rlang::get_expr(p_int$mapping$x), rlang::expr(rank)) expect_equal(rlang::get_expr(p_int$mapping$y), rlang::expr(.estimate)) expect_equal(rlang::get_expr(p_int$mapping$colour), rlang::expr(workflow)) expect_equal(as.list(p_tidy$facet$params), list()) expect_equal(as.character(p_int$labels$x), "Workflow Rank") expect_equal(as.character(p_int$labels$y), "rsq") expect_equal(as.character(p_int$labels$colour), "workflow") expect_equal(as.character(p_int$labels$ymin), ".lower") expect_equal(as.character(p_int$labels$ymax), ".upper") p_rope <- autoplot(rsq_mod, type = "ROPE", size = 0.1) expect_s3_class(p_rope, "ggplot") expect_equal(names(p_rope$data), c("model", "pract_equiv", "rank", "workflow")) expect_equal(rlang::get_expr(p_rope$mapping$x), rlang::expr(rank)) expect_equal(rlang::get_expr(p_rope$mapping$y), rlang::expr(pract_equiv)) expect_equal(as.list(p_tidy$facet$params), list()) expect_equal(as.character(p_rope$labels$x), "Workflow Rank") expect_equal(as.character(p_rope$labels$y), "Probability of Practical Equivalence") expect_equal(as.character(p_rope$labels$colour), "workflow")}) 38: eval(code, test_env) 39: eval(code, test_env) 40: withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error) 41: doTryCatch(return(expr), name, parentenv, handler) 42: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 43: tryCatchList(expr, names[-nh], parentenv, handlers[-nh]) 44: doTryCatch(return(expr), name, parentenv, handler) 45: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), names[nh], parentenv, handlers[[nh]]) 46: tryCatchList(expr, classes, parentenv, handlers) 47: tryCatch(withCallingHandlers({ eval(code, test_env) if (!handled && !is.null(test)) { skip_empty() }}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, message = handle_message, error = handle_error), error = handle_fatal, skip = function(e) { }) 48: test_code(test = NULL, code = exprs, env = env, default_reporter = StopReporter$new()) 49: source_file(path, env = env(env), desc = desc, error_call = error_call) 50: FUN(X[[i]], ...) 51: lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call) 52: doTryCatch(return(expr), name, parentenv, handler) 53: tryCatchOne(expr, names, parentenv, handlers[[1L]]) 54: tryCatchList(expr, classes, parentenv, handlers) 55: tryCatch(code, testthat_abort_reporter = function(cnd) { cat(conditionMessage(cnd), "\n") NULL}) 56: with_reporter(reporters$multi, lapply(test_paths, test_one_file, env = env, desc = desc, error_call = error_call)) 57: test_files_serial(test_dir = test_dir, test_package = test_package, test_paths = test_paths, load_helpers = load_helpers, reporter = reporter, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, desc = desc, load_package = load_package, error_call = error_call) 58: test_files(test_dir = path, test_paths = test_paths, test_package = package, reporter = reporter, load_helpers = load_helpers, env = env, stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, load_package = load_package, parallel = parallel) 59: test_dir("testthat", package = package, reporter = reporter, ..., load_package = "installed") 60: test_check("tidyposterior") An irrecoverable exception occurred. R is aborting now ... Segmentation fault