Nothing
test_that("data matrix trimming works with BDB", {
anls1 <- psborrow2:::.analysis_obj(
data_matrix = example_matrix,
covariates = add_covariates(covariates = "cov1", prior_normal(0, 1000)),
outcome = outcome_surv_exponential("time", "cnsr", prior_normal(0, 1000)),
treatment = treatment_details("trt", trt_prior = prior_normal(0, 1000)),
borrowing = borrowing_hierarchical_commensurate(
ext_flag_col = "ext",
tau_prior = prior_exponential(0.001)
)
)
anls1_trim <- psborrow2:::trim_data_matrix(anls1)
expect_matrix(anls1_trim, mode = "numeric", nrows = 500, ncols = 5)
expect_set_equal(
colnames(anls1_trim), c("time", "cnsr", "cov1", "trt", "ext")
)
})
test_that("data matrix trimming works with Full Borrowing", {
anls2 <- psborrow2:::.analysis_obj(
data_matrix = example_matrix,
outcome = outcome_surv_exponential("time", "cnsr", prior_normal(0, 1000)),
treatment = treatment_details("trt", trt_prior = prior_normal(0, 1000)),
borrowing = borrowing_full("ext")
)
anls2_trim <- psborrow2:::trim_data_matrix(anls2)
expect_matrix(anls2_trim, mode = "numeric", nrows = 500, ncols = 3)
expect_set_equal(
colnames(anls2_trim), c("time", "cnsr", "trt")
)
})
test_that("data matrix trimming works with No Borrowing", {
object <- psborrow2:::.analysis_obj(
data_matrix = example_matrix,
outcome = outcome_surv_exponential("time", "cnsr", prior_normal(0, 1000)),
treatment = treatment_details("trt", trt_prior = prior_normal(0, 1000)),
covariates = add_covariates("cov1", prior_normal(0, 1000)),
borrowing = borrowing_none(
ext_flag_col = "ext"
)
)
result <- psborrow2:::trim_data_matrix(object)
expect_matrix(result, mode = "numeric", nrows = 150, ncols = 4)
expect_set_equal(
colnames(result), c("time", "cnsr", "trt", "cov1")
)
})
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