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Ricrt

Randomization Inference of Clustered Randomized Trials

v0.1.0 · Feb 22, 2023 · MIT + file LICENSE

Description

Methods for randomization inference in group-randomized trials. Specifically, it can be used to analyze the treatment effect of stratified data with multiple clusters in each stratum with treatment given on cluster level. User may also input as many covariates as they want to fit the data. Methods are described by Dylan S Small et al., (2012) <doi:10.1198/016214507000000897>.

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr randomForest tidyverse SuperLearner glmnet rlang Rdpack Ricrt

Version History

new 0.1.0 Mar 10, 2026