Randomization Inference of Clustered Randomized Trials

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) .


Reference manual

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install.packages("Ricrt")

0.1.0 by Yang Dong, 4 years ago


Browse source code at https://github.com/cran/Ricrt


Authors: Yang Dong [aut, cph, cre] , Bingkai Wang [aut, cph] , Dylan Small [aut, cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, randomForest, tidyverse, stats, SuperLearner, glmnet, rlang, Rdpack


See at CRAN