Nothing
## test tidy and glance methods from mcmc_tidiers
stopifnot(require("testthat"), require("broom.mixed"))
context("stan tidiers")
if (suppressPackageStartupMessages(require(rstan, quietly = TRUE))) {
test_that("tidy returns indexes if requested on rstanarm fits", {
# Make sure that (inst/)extdata/run_examples.R was run to generate rds
rstan_example <- readRDS(system.file("extdata", "rstan_example.rds", package = "broom.mixed"))
# check_tidy from helper-checkers
td <- tidy(rstan_example)
check_tidy(td, 18, 3, c("term", "estimate", "std.error"))
td <- tidy(rstan_example, index = TRUE)
check_tidy(td, 18, 4, c("term", "index", "estimate", "std.error"))
td <- tidy(rstan_example, drop.pars = NULL)
expect_equal(td[19, ][["term"]], "lp__")
td <- tidy(rstan_example, conf.int = TRUE)
check_tidy(td, 18, 5, c("term", "estimate", "std.error", "conf.low", "conf.high"))
td <- tidy(rstan_example, rhat = TRUE)
check_tidy(td, 18, 4, c("term", "estimate", "std.error", "rhat"))
td <- tidy(rstan_example, ess = TRUE)
check_tidy(td, 18, 4, c("term", "estimate", "std.error", "ess"))
})
}
context("brms tidiers")
if (suppressPackageStartupMessages(require("brms", quietly = TRUE))) {
load(system.file("extdata","brms_example.rda",
package="broom.mixed",
mustWork=TRUE))
## n.b. different S3 methods found depending on environment
zz <- tidy(brms_zip,effects="ran_vals")
zz2 <- tidy(brms_zip)
zz3 <- tidy(brms_multi)
expect_warning(tidy(brms_multi_RE),"currently incorrect")
suppressWarnings(zz4 <- tidy(brms_multi_RE))
zz5 <- tidy(brms_RE, effects = "ran_vals")
test_that("correct levels for models with zi/ranef",{
expect_equal(zz[["level"]],
rep(c(paste("R",1:12,sep="-"),paste("VF",1:11,sep="-")),2))
})
test_that("component returned for brms models",
{
expect_equal(zz2[["component"]],
unlist(lapply(list(c(1,1),c(13,1),c(1,1)),
rep,x=c("cond","zi"))))
})
test_that("component tags stripped from brms models",
{
expect_equal(c(table(zz2[["term"]])),
c(`(Intercept)` = 2L, minedno = 2L, `sd__(Intercept)` = 2L,
sppDESML = 1L,
`sppDESML:minedno` = 1L, sppDF = 1L, `sppDF:minedno` = 1L,
sppDM = 1L, `sppDM:minedno` = 1L, sppECMA = 1L,
`sppECMA:minedno` = 1L, sppECML = 1L, `sppECML:minedno` = 1L,
sppPR = 1L, `sppPR:minedno` = 1L))
})
test_that("multi-component brms models",
{
check_tidy(zz3, 8, 9,
c("response", "effect", "component", "group",
"term", "estimate", "std.error",
"conf.low", "conf.high"))
})
sleepstudy.levels <- rep(c("308", "309", "310", "330", "331", "332", "333", "334", "335", "337",
"349", "350", "351", "352", "369", "370", "371", "372"), 2)
test_that("ran_vals returns correct output", {
expect_equal(nrow(zz5), 36)
expect_equal(nrow(zz5 %>% filter(group == "Subject")), 36)
expect_equal(nrow(zz5 %>% filter(term == "(Intercept)")), 18)
expect_equal(nrow(zz5 %>% filter(term == "Days_extra")), 18)
expect_equal(zz5$level, sleepstudy.levels)
})
} ## if require("brms")
context("mcmc tidiers")
if (suppressPackageStartupMessages(require(coda, quietly = TRUE))) {
data(line)
x1 <- line[[1]]
test_that("mcmc with ess",
{
expect_warning(td <- tidy(
x = x1,
conf.int = TRUE,
robust = TRUE,
rhat = TRUE,
index = TRUE,
ess = TRUE),
"ignoring 'rhat'")
check_tidy(td, 3, 7,
c("term","index","estimate","std.error",
"conf.low","conf.high","ess"))
})
}
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