Nothing
test_that(".get_pcalg_test_from_string error if computing suff_stat without X", {
expect_error(
.get_pcalg_test_from_string("g_square", suff_stat = TRUE),
"X must be provided to compute sufficient statistic."
)
})
test_that(".get_suff_stat works", {
X <- data.frame(
V1 = rnorm(10),
V2 = rnorm(10)
)
suff_stat <- .get_suff_stat(X, method = "fisher_z_twd")
expect_true(is.data.frame(suff_stat))
expect_error(
.get_suff_stat("a", method = "fisher_z_mi"),
"fisher_z_mi requires a mids object.",
fixed = TRUE
)
X_missing <- data.frame(
V1 = rnorm(10),
V2 = rnorm(10)
)
X_missing$V1[1:2] <- NA
X_imp <- mice::mice(X_missing, m = 5, method = "pmm", printFlag = FALSE)
suff_stat <- .get_suff_stat(X_imp, method = "fisher_z_mi")
expect_equal(suff_stat[6][[1]], 10)
suff_stat <- .get_suff_stat(X, method = "g_square_twd")
expect_equal(names(suff_stat), c("dm", "adaptDF"))
expect_error(
.get_suff_stat("a", method = "g_square_mi"),
"disMItest requires a list or a mids object."
)
suff_stat <- .get_suff_stat(X, method = "g_square_mi")
expect_equal(class(suff_stat), "data.frame")
suff_stat <- .get_suff_stat(X, method = "conditional_gaussian_twd")
expect_equal(class(suff_stat), "data.frame")
expect_error(
.get_suff_stat("a", method = "conditional_gaussian_mi"),
"mixMItest requires a list or a mids object."
)
suff_stat <- .get_suff_stat(X, method = "conditional_gaussian_mi")
expect_equal(class(suff_stat), "data.frame")
expect_error(
.get_suff_stat(X, method = "unknown_method"),
"Unknown method: unknown_method"
)
})
test_that(".classify_binary works", {
expect_true(.classify_binary(c(TRUE, FALSE)))
expect_true(.classify_binary(is.factor(c("a", "b"))))
expect_true(.classify_binary(c(0, 1)))
expect_false(.classify_binary(c(0, 1, 2)))
})
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