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: 2026-10-13 13:14:01 UTC; root
Author: Yang Dong [aut, cph, cre], Bingkai Wang [aut, cph], Dylan Small
        [aut, cph]
Maintainer: Yang Dong <flankado@sas.upenn.edu>
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libfribidi-dev make libharfbuzz-dev libicu-dev libjpeg-dev
        libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev
        libssl-dev libx11-dev zlib1g-dev
Repository: https://flankado.r-universe.dev
Date/Publication: 2023-02-22 13:40:09 UTC
RemoteUrl: https://github.com/cran/Ricrt
RemoteRef: HEAD
RemoteSha: 1cd92b389926cb534dcf7053d532e79d46009ecc