Package: Ricrt
Type: Package
Title: Randomization Inference of Clustered Randomized Trials
Version: 0.1.0
Authors@R: c(person("Yang", "Dong", email = "flankado@sas.upenn.edu", role = c("aut", "cph", "cre")), person("Bingkai", "Wang", email = "bingkai@wharton.upenn.edu", role = c("aut", "cph")), person("Dylan", "Small", email = "dsmall@wharton.upenn.edu", role = c("aut", "cph")))
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>.
License: MIT + file LICENSE
Imports: dplyr, randomForest, tidyverse, stats, SuperLearner, glmnet,
        rlang, Rdpack
RdMacros: Rdpack
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-02-21 04:21:35 UTC; flankado
Author: Yang Dong [aut, cph, cre],
  Bingkai Wang [aut, cph],
  Dylan Small [aut, cph]
Maintainer: Yang Dong <flankado@sas.upenn.edu>
Repository: CRAN
Date/Publication: 2023-02-22 14:40:09 UTC
Built: R 4.6.0; ; 2026-04-25 13:59:33 UTC; unix
