Perform discounted and undiscounted results check — do_discount

This function performs multiple checks on user-defined columns.

Usage

do_discount_check(df, v_outcomes = NULL, v_outcomes_d = NULL)

Arguments

df: a dataframe.
v_outcomes: (a vector of) character. Name of the variables containing undiscounted outcomes of the model.
v_outcomes_d: (a vector of) character. Name of the variables containing discounted outcomes of the model.

Value

A matrix.

Details

The variables contained in `v_outcomes` and `v_outcomes_d` should be in the same order.

Examples

# Checking whether discounted QALYs are lower than undiscounted QALYs using the example data
do_discount_check(df = df_pa,
                  v_outcomes = "t_qaly_comp",
                  v_outcomes_d = "t_qaly_d_comp")
#> Test passed with 1000 successes 🥇.
#>                                                           Test Result
#> 1 All discounted outcomes are lower than undiscounted outcomes   TRUE