Check Data Matrix for Required Columns — check_data_matrix_has

Check that an Analysis object's data_matrix has all the required variables.

Usage

check_data_matrix_has_columns(object)

Arguments

object: Analysis. Object to check.

Value

stop() if some columns are missing.

Examples

anls <- psborrow2:::.analysis_obj(
  data_matrix = example_matrix,
  covariates = add_covariates(
    covariates = c("cov1", "cov2"),
    priors = normal_prior(0, 1000)
  ),
  outcome = exp_surv_dist(
    "time",
    "cnsr",
    baseline_prior = normal_prior(0, 1000)
  ),
  borrowing = borrowing_details(
    "BDB",
    "ext",
    exponential_prior(.001)
  ),
  treatment = treatment_details(
    "trt",
    normal_prior(0, 1000)
  ),
  ready_to_sample = FALSE
)

check_data_matrix_has_columns(anls)