dot-rcorrect: Bias correct residuals contributing to standard errors of a...

In propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment

Bias correct residuals contributing to standard errors of a teeMod

Description

Bias correct residuals contributing to standard errors of a teeMod

Usage

.rcorrect(resids, x, model, type, ...)

Arguments

resids	numeric vector of residuals to correct
x	teeMod object
model	string indicating which model the residuals are from. "itt" indicates correction to the residuals of x, and "cov_adj" indicates correction to the residuals of the covariance adjustment model. This informs whether corrections should use information from x or the fitted_covariance_model slot of the SandwichLayer object in the offset for corrections
type	string indicating the desired bias correction. Can be one of "(HC/CR/MB)0", "(HC/CR/MB)1", or "(HC/CR/MB)2"
...	additional arguments passed from up the call stack; in particular, the cluster_cols argument, which informs whether to cluster and provide CR2 corrections instead of HC2 corrections, as well as the correction for the number of clusters in the CR1 correction. This may also include a by argument.

propertee documentation built on Aug. 22, 2025, 1:09 a.m.