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Ricrt: 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) <doi:10.1198/016214507000000897>.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: dplyr, randomForest, tidyverse, stats, SuperLearner, glmnet, rlang, Rdpack
Published: 2023-02-22
DOI: 10.32614/CRAN.package.Ricrt
Author: Yang Dong [aut, cph, cre], Bingkai Wang [aut, cph], Dylan Small [aut, cph]
Maintainer: Yang Dong <flankado at sas.upenn.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: Ricrt results

Documentation:

Reference manual: Ricrt.pdf

Downloads:

Package source: Ricrt_0.1.0.tar.gz
Windows binaries: r-devel: Ricrt_0.1.0.zip, r-release: Ricrt_0.1.0.zip, r-oldrel: Ricrt_0.1.0.zip
macOS binaries: r-release (arm64): Ricrt_0.1.0.tgz, r-oldrel (arm64): Ricrt_0.1.0.tgz, r-release (x86_64): Ricrt_0.1.0.tgz, r-oldrel (x86_64): Ricrt_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.