library(epigrowthfit) options(warn = 2L, error = if (interactive()) recover) example("egf", package = "epigrowthfit"); o.1 <- m1; o.2 <- m2 .S3method("all.equal", "confint.egf", function(target, current, ignore = NULL, ...) { if (!is.null(ignore)) attributes(target)[ignore] <- attributes(current)[ignore] <- NULL NextMethod() }) ## object ############################################################## o.1c.w <- confint(o.1, A = NULL, method = "wald", class = TRUE, random = TRUE) o.1c.p <- confint(o.1, A = NULL, method = "profile", class = TRUE, top = "log(r)", subset = quote(country == "A" & wave == 1)) o.1c.u <- confint(o.1, A = NULL, method = "uniroot", class = TRUE, top = "log(r)", subset = quote(country == "A" & wave == 1)) o.1f <- fitted(o.1, class = TRUE, se = TRUE) o.1fc <- confint(o.1f, class = TRUE) o.1p <- profile(o.1, A = NULL, top = "log(r)", subset = quote(country == "A" & wave == 1)) o.1pc <- confint(o.1p, class = TRUE) stopifnot(exprs = { is.list(o.1c.w) identical(oldClass(o.1c.w), c("confint.egf", "data.frame")) all.equal(o.1c.w, o.1fc) is.list(o.1c.p) identical(oldClass(o.1c.p), c("confint.egf", "data.frame")) all.equal(o.1c.p, o.1pc) is.list(o.1c.u) identical(oldClass(o.1c.u), c("confint.egf", "data.frame")) all.equal(o.1c.u, o.1c.p, tolerance = 5e-06) }) ## parallel ############################################################ f <- function(method, cores) confint(o.1, A = NULL, method = "uniroot", class = TRUE, top = "log(r)", subset = quote(country == "A" & wave == 1), parallel = egf_parallel(method = method, cores = cores)) windows <- .Platform[["OS.type"]] == "windows" stopifnot(exprs = { all.equal(o.1c.u, f("multicore", if (windows) 1L else 2L)) all.equal(o.1c.u, f("snow", 2L)) }) ## plot ################################################################ op <- par(mar = c(4.5, 4, 2, 1), oma = c(0, 0, 0, 0)) plot(o.1c.w) par(op)