test_that("cross-sectional id le 400 binomial", {
  skip_if_not_installed("SeqArray")
  skip_if_not_installed("SeqVarTools")
  gdsfile  <- system.file("extdata", "geno.gds",  package = "MAGEE")
  group.file <- system.file("extdata", "SetID.withweights.txt", package = "MAGEE")
  data(example)
  set.seed(123)
  pheno <- rbind(example$pheno, example$pheno[1:100, ])
  pheno$id <- 1:500
  pheno$disease[sample(1:500,20)] <- NA
  pheno$age[sample(1:500,20)] <- NA
  pheno$sex[sample(1:500,20)] <- NA
  pheno <- pheno[sample(1:500,450), ]
  pheno <- pheno[pheno$id <= 400, ]
  kins <- example$GRM
  
  obj1 <- glmmkin(disease ~ age + sex, data = pheno,  kins = kins, id = "id", family = binomial(link = "logit"), method = "REML", method.optim = "AI")
  outfile1 <- tempfile()
  out1 <- MAGEE(obj1, interaction="sex",geno.file=gdsfile,group.file=group.file,meta.file.prefix = outfile1, tests=c("JV","JF","JD"))
  out1.meta<-MAGEE.meta(meta.files.prefix = outfile1,  group.file=group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out1[, -(1:10)]), signif(out1.meta[, -(1:2)]))
  unlink(c(paste0(outfile1, ".score.1"), paste0(outfile1, ".cov.1")))
  
  skip_on_cran()
  
  outfile1.tmp <- tempfile()
  out1.tmp <- MAGEE(obj1, interaction="sex",geno.file=gdsfile, group.file=group.file, meta.file.prefix = outfile1.tmp, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"), ncores = 2)
  n.files <- 2
  out1.meta.tmp <- MAGEE.meta(outfile1.tmp, n.files = n.files, group.file = group.file, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  expect_equal(signif(out1.tmp[, -(1:10)]), signif(out1.meta.tmp[, -(1:2)]))
  expect_equal(out1, out1.tmp)
  expect_equal(out1.meta, out1.meta.tmp)
  unlink(c(paste0(outfile1.tmp, ".score.", 1:2), paste0(outfile1.tmp, ".cov.", 1:2)))
  
  obj2 <- glmmkin(disease ~ age + sex, data = pheno, kins = NULL, id = "id", family = binomial(link = "logit"), method = "REML", method.optim = "AI")
  outfile2 <- tempfile()
  out2 <- MAGEE(obj2, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile2, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out2.meta <- MAGEE.meta(outfile2, group.file = group.file, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  expect_equal(signif(out2[, -(1:10)],5), signif(out2.meta[, -(1:2)],5))
  unlink(c(paste0(outfile2, ".score.1"), paste0(outfile2, ".cov.1")))
})

test_that("cross-sectional id gt 400 binomial", {
  skip_on_cran()
  skip_if_not_installed("SeqArray")
  skip_if_not_installed("SeqVarTools")
  gdsfile  <- system.file("extdata", "geno.gds",  package = "MAGEE")
  group.file <- system.file("extdata", "SetID.withweights.txt", package = "MAGEE")
  data(example)
  set.seed(123)
  pheno <- rbind(example$pheno, example$pheno[1:100, ])
  pheno$id <- 1:500
  pheno$disease[sample(1:500,20)] <- NA
  pheno$age[sample(1:500,20)] <- NA
  pheno$sex[sample(1:500,20)] <- NA
  pheno <- pheno[sample(1:500,450), ]
  kins <- diag(500)
  kins[1:400, 1:400] <- example$GRM
  rownames(kins) <- colnames(kins) <- 1:500
  
  obj1 <- glmmkin(disease ~ age + sex, data = pheno, kins = kins, id = "id", family = binomial(link = "logit"), method = "REML", method.optim = "AI")
  outfile1 <- tempfile()
  out1 <- MAGEE(obj1, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile1, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out1.meta <- MAGEE.meta(meta.files.prefix=outfile1, group.file = group.file,  tests = c("JV","JF","JD"))
  expect_equal(signif(out1[, -(1:10)], 5), signif(out1.meta[, -(1:2)],5))
  
  obj2 <- glmmkin(disease ~ age + sex, data = pheno, kins = NULL, id = "id", family = binomial(link = "logit"), method = "REML", method.optim = "AI")
  outfile2 <- tempfile()
  out2 <- MAGEE(obj2, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile2, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out2.meta <- MAGEE.meta(outfile2, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out2[, -(1:10)], 5), signif(out2.meta[, -(1:2)], 5))
  unlink(c(paste0(outfile1, ".score.1"), paste0(outfile1, ".cov.1"), paste0(outfile2, ".score.1"), paste0(outfile2, ".cov.1")))
})

test_that("cross-sectional id le 400 gaussian", {
  skip_on_cran()
  skip_if_not_installed("SeqArray")
  skip_if_not_installed("SeqVarTools")
  gdsfile  <- system.file("extdata", "geno.gds",  package = "MAGEE")
  group.file <- system.file("extdata", "SetID.withweights.txt", package = "MAGEE")
  data(example)
  set.seed(123)
  pheno <- rbind(example$pheno, example$pheno[1:100, ])
  pheno$id <- 1:500
  pheno$disease[sample(1:500,20)] <- NA
  pheno$age[sample(1:500,20)] <- NA
  pheno$sex[sample(1:500,20)] <- NA
  pheno <- pheno[sample(1:500,450), ]
  pheno <- pheno[pheno$id <= 400, ]
  kins <- example$GRM
  
  obj1 <- glmmkin(trait ~ age + sex, data = pheno, kins = kins, id = "id", family = gaussian(link = "identity"), method = "REML", method.optim = "AI")
  outfile1 <- tempfile()
  out1 <- MAGEE(obj1, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile1, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out1.meta <- MAGEE.meta(outfile1, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out1[, -(1:10)],5), signif(out1.meta[, -(1:2)],5))
  obj2 <- glmmkin(trait ~ age + sex, data = pheno, kins = NULL, id = "id", family = gaussian(link = "identity"), method = "REML", method.optim = "AI")
  outfile2 <- tempfile()
  out2 <- MAGEE(obj2,interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile2, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out2.meta <- MAGEE.meta(outfile2, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out2[, -(1:10)], 5), signif(out2.meta[, -(1:2)], 5))
  unlink(c(paste0(outfile1, ".score.1"), paste0(outfile1, ".cov.1"), paste0(outfile2, ".score.1"), paste0(outfile2, ".cov.1")))
})

test_that("cross-sectional id gt 400 gaussian", {
  skip_on_cran()
  skip_if_not_installed("SeqArray")
  skip_if_not_installed("SeqVarTools")
  gdsfile  <- system.file("extdata", "geno.gds",  package = "MAGEE")
  group.file <- system.file("extdata", "SetID.withweights.txt", package = "MAGEE")
  data(example)
  set.seed(123)
  pheno <- rbind(example$pheno, example$pheno[1:100, ])
  pheno$id <- 1:500
  pheno$disease[sample(1:500,20)] <- NA
  pheno$age[sample(1:500,20)] <- NA
  pheno$sex[sample(1:500,20)] <- NA
  pheno <- pheno[sample(1:500,450), ]
  kins <- diag(500)
  kins[1:400, 1:400] <- example$GRM
  rownames(kins) <- colnames(kins) <- 1:500
  
  obj1 <- glmmkin(trait ~ age + sex, data = pheno, kins = kins, id = "id", family = gaussian(link = "identity"), method = "REML", method.optim = "AI")
  outfile1 <- tempfile()
  out1 <- MAGEE(obj1, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile1, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out1.meta <- MAGEE.meta(outfile1, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out1[, -(1:10)],5), signif(out1.meta[, -(1:2)],5))
  obj2 <- glmmkin(trait ~ age + sex, data = pheno, kins = NULL, id = "id", family = gaussian(link = "identity"), method = "REML", method.optim = "AI")
  outfile2 <- tempfile()
  out2 <- MAGEE(obj2, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile2, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out2.meta <- MAGEE.meta(outfile2, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out2[, -(1:10)],4), signif(out2.meta[, -(1:2)],4))
  unlink(c(paste0(outfile1, ".score.1"), paste0(outfile1, ".cov.1"), paste0(outfile2, ".score.1"), paste0(outfile2, ".cov.1")))
})

test_that("longitudinal repeated measures gaussian", {
  skip_on_cran()
  skip_if_not_installed("SeqArray")
  skip_if_not_installed("SeqVarTools")
  gdsfile <- system.file("extdata", "geno.gds", package = "MAGEE")
  group.file <- system.file("extdata", "SetID.withweights.txt", package = "MAGEE")
  data(example)
  set.seed(123)
  pheno <- example$pheno2
  kins <- example$GRM
  obj1 <- glmmkin(y.repeated ~ sex, data = pheno, kins = kins, id = "id",random.slope = NULL, family = gaussian(link = "identity"))
  outfile1 <- tempfile()
  out1 <- MAGEE(obj1, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile1, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out1.meta <- MAGEE.meta(outfile1, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out1[, -(1:10)], digits = 5), signif(out1.meta[, -(1:2)], digits = 5))
  obj2 <- glmmkin(y.repeated ~ sex, data = pheno, kins = NULL, id = "id",random.slope = NULL, family = gaussian(link = "identity"))
  outfile2 <- tempfile()
  out2 <- MAGEE(obj2, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile2, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out2.meta <- MAGEE.meta(outfile2, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out2[, -(1:10)]), signif(out2.meta[, -(1:2)]))
  unlink(c(paste0(outfile1, ".score.1"), paste0(outfile1, ".cov.1"), paste0(outfile2, ".score.1"), paste0(outfile2, ".cov.1")))
})

test_that("longitudinal random time trend gaussian", {
  skip_on_cran()
  skip_if_not_installed("SeqArray")
  skip_if_not_installed("SeqVarTools")
  gdsfile <- system.file("extdata", "geno.gds", package = "MAGEE")
  group.file <- system.file("extdata", "SetID.withweights.txt", package = "MAGEE")
  data(example)
  set.seed(123)
  pheno <- example$pheno2
  kins <- example$GRM
  obj1 <- glmmkin(y.trend ~ sex + time, data = pheno, kins = kins, id = "id",random.slope = "time", family = gaussian(link = "identity"))
  outfile1 <- tempfile()
  out1 <- MAGEE(obj1, interaction="sex",geno.file=gdsfile,group.file=group.file, meta.file.prefix = outfile1, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out1.meta <- MAGEE.meta(outfile1, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out1[, -(1:10)]), signif(out1.meta[, -(1:2)]))
  obj2 <- glmmkin(y.trend ~ sex + time, data = pheno, kins = NULL, id = "id",random.slope = "time", family = gaussian(link = "identity"))
  outfile2 <- tempfile()
  out2 <- MAGEE(obj2, interaction="sex",geno.file=gdsfile,group.file=group.file,meta.file.prefix = outfile2, MAF.range = c(0, 0.5), miss.cutoff = 1, method = "davies", tests = c("JV","JF","JD"))
  out2.meta <- MAGEE.meta(outfile2, group.file = group.file, tests = c("JV","JF","JD"))
  expect_equal(signif(out2[, -(1:10)], 5), signif(out2.meta[, -(1:2)], 5))
  unlink(c(paste0(outfile1, ".score.1"), paste0(outfile1, ".cov.1"), paste0(outfile2, ".score.1"), paste0(outfile2, ".cov.1")))
})