check_weights: Check to see if weights are optimized correctly

In maicplus: Matching Adjusted Indirect Comparison

Check to see if weights are optimized correctly

Description

This function checks to see if the optimization is done properly by checking the covariate averages before and after adjustment. In case of ties when calculating median, we return the mean of the two numbers. For more details, see ties parameter in matrixStats::weightedMedian.

Usage

check_weights(weighted_data, processed_agd)

## S3 method for class 'maicplus_check_weights'
print(
  x,
  mean_digits = 2,
  prop_digits = 2,
  sd_digits = 3,
  digits = getOption("digits"),
  ...
)

Arguments

weighted_data	object returned after calculating weights using estimate_weights
processed_agd	a data frame, object returned after using process_agd or aggregated data following the same naming convention
x	object from check_weights
mean_digits	number of digits for rounding mean columns in the output
prop_digits	number of digits for rounding proportion columns in the output
sd_digits	number of digits for rounding mean columns in the output
digits	minimal number of significant digits, see print.default.
...	further arguments to print.data.frame

Value

data.frame of weighted and unweighted covariate averages of the IPD, average of aggregate data, and sum of inner products of covariate x_i and the weights (exp(x_i\beta))

Methods (by generic)

• print(maicplus_check_weights): Print method for check_weights objects

Examples

data(weighted_sat)
data(agd)
check_weights(weighted_sat, process_agd(agd))

maicplus documentation built on April 4, 2025, 2:17 a.m.