Nothing
# Having only tested on macOS, because Stan results will only be exactly reproducible
# if all of the following components are identical:
# Stan version
# Stan interface (RStan, PyStan, CmdStan) and version, plus version of interface language (R, Python, shell)
# versions of included libraries (Boost and Eigen)
# operating system version
# computer hardware including CPU, motherboard and memory
# C++ compiler, including version, compiler flags, and linked libraries
# same configuration of call to Stan, including random seed, chain ID, initialization and data
skip_on_cran()
skip_on_appveyor()
test_that("Test-all, for-loop", {
options(warn=-1)
for (method in 0:6) {
for (var.equal in c(T, F)) {
for (design in c("within", "between")) {
for (treat in c("random", "fixed")) {
for (diagnostics in c(F, T)) {
test <- rmHDI(data.wide = recall.wide, seed = 277, method = method,
var.equal = var.equal, design = design, treat = treat,
diagnostics = diagnostics,
chain = 1, warmup = 5, iter = 10)
expect_gte(length(test),3)
}
}
}
}
}
options(warn=0)
})
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