Model-Robust Standardization in Cluster-Randomized Trials

Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) .

MRStdCRT

Tools for working with cluster-randomized trial data (CRT).
This package is under active development.

Installation

You can install the development version from GitHub:

install.packages("devtools")

devtools::install_github("deckardt98/MRStdCRT")