Nothing
# Load and process the data to run SOHPIE
data(example_dat)
surv_dat <- example_dat$surv_dat
res_SMAHP <- SMAHP(example_dat$X, example_dat$M, example_dat$C, time = surv_dat$time, status = surv_dat$status)
# Create a function to check the sign of p-values
# and adjusted p-values:
sign_check <- function(pval) {
if (sum(pval < 0, na.rm = TRUE) > 0) {
return("ERROR: Negative p-values")
} else {
return("No negative p-values")
}
}
# A function to check if p_final_matrix and p_adjusted_matrix have any negative p-values:
test_that("Check any negative p-values after SMAHP", {
expect_equal(sign_check(res_SMAHP$p_final_matrix), "No negative p-values")
expect_equal(sign_check(res_SMAHP$p_adjusted_matrix), "No negative p-values")
})
# Use testthat to check if p_med_matrix return any missing or NA:
test_that("Check the missingness after SMAHP", {
expect_false(any(is.na(res_SMAHP$p_med_matrix)))
})
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