dot-make.covariate.table: Create Covariate Balance Table

In NUstat/generalizeR: Design a Sample Recruitment Plan and Assess Its 'Generalizability' to Broader Populations

Create Covariate Balance Table

Description

This function is designed for use within weighting() and assess().'

Usage

.make.covariate.table(
  data,
  sample_indicator,
  covariates,
  sample_weights = NULL,
  estimation_method = "lr",
  disjoint_data = TRUE
)

Arguments

data	Dataframe comprised of "stacked" sample and target population data
sample_indicator	Binary variable denoting sample membership (1 = in sample, 0 = out of sample)
covariates	Vector of covariates in dataframe that predict sample membership
sample_weights	Name of column in dataframe holding weights for calculating weighted sample means of covariates in dataframe. If NULL, sample means are unweighted.
estimation_method	Method to estimate the probability of sample membership. Default is logistic regression ("lr"). Other methods supported are Random Forests ("rf") and Lasso ("lasso").
disjoint_data	Logical. Defaults to TRUE. If TRUE, then sample and population data are considered disjoint. This affects calculation of the weights.

NUstat/generalizeR documentation built on Feb. 7, 2024, 6:39 p.m.