Nothing
test_that("new_mcmc_fit and new_optim_fit work", {
expect_s3_class(new_mcmc_fit(2, 2, 2, 2), c("mcmc_fit", "rater_fit"))
expect_s3_class(new_optim_fit(2, 2, 2, 2), c("optim_fit", "rater_fit"))
})
test_that("print works for rater_fit objects", {
expect_output(
print(ds_fit),
"Bayesian Dawid and Skene Model with MCMC draws"
)
expect_output(
print(hds_fit),
"Bayesian Hierarchical Dawid and Skene Model with MCMC draws"
)
})
test_that("is.mcmc_fit works", {
test_fit <- 2
expect_false(is.rater_fit(test_fit))
expect_false(is.mcmc_fit(test_fit))
class(test_fit) <- c("mcmc_fit", "rater_fit")
expect_true(is.mcmc_fit(test_fit))
expect_true(is.rater_fit(test_fit))
})
test_that("plot.fit dispatches correctly", {
# Why does this test not compare the plots directly?
# Because of the internals of {rater} the plots are created in different
# environments causing testthat 3e and R 4.1 to fail. In any case testing
# the geoms is probably sufficient here as we are really testing the sanity
# of the switch statement controlling plot dispatch.
plot_theta_p <- plot_theta(ds_fit)
plot_p <- plot(ds_fit, pars = "theta")
expect_equal(get_geoms(plot_p), get_geoms(plot_theta_p))
plot_class_probs_p <- plot_theta(ds_fit)
plot_p <- plot(ds_fit, pars = "latent_class")
expect_equal(get_geoms(plot_p), get_geoms(plot_class_probs_p))
plot_pi_p <- plot_pi(ds_fit)
plot_p <- plot(ds_fit, pars = "pi")
expect_equal(get_geoms(plot_p), get_geoms(plot_pi_p))
})
test_that("as_mcmc.list works", {
expect_error(as_mcmc.list(ds_fit_optim))
expect_error(as_mcmc.list(2))
expect_true(coda::is.mcmc.list(as_mcmc.list(ds_fit)))
})
test_that("prior_summary works", {
expect_equal(prior_summary(ds_fit), ds_fit$model)
})
test_that("get_stanfit works", {
expect_equal(get_stanfit(ds_fit), ds_fit$samples)
expect_equal(get_stanfit(ds_fit_optim), ds_fit_optim$estimates)
expect_error(get_stanfit(2))
})
test_that("summary works", {
expect_output(summary(ds_fit))
expect_output(summary(ds_fit_optim))
expect_output(summary(ds_fit_grouped))
expect_output(summary(ccds_fit))
expect_output(summary(hds_fit))
})
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