Package: Ricrt 0.1.0

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>.

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

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Ricrt/json (API)

# Install 'Ricrt' in R:
install.packages('Ricrt', repos = c('https://flankado.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 161 downloads 2 exports 127 dependencies

Last updated 2 years agofrom:1cd92b3899. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-winOKOct 25 2024
R-4.5-linuxOKOct 25 2024
R-4.4-winOKOct 25 2024
R-4.4-macOKOct 25 2024
R-4.3-winOKOct 25 2024
R-4.3-macOKOct 25 2024

Exports:QuantileAnalysisRicrt

Dependencies:askpassbackportsbase64encbitbit64bitopsblobbroombslibcachemcallrcaToolscellrangerclicliprcodetoolscolorspaceconflictedcpp11crayoncurlcvAUCdata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsforeachfsgamgarglegenericsggplot2glmnetgluegoogledrivegooglesheets4gplotsgtablegtoolshavenhighrhmshtmltoolshttridsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmennlsopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrandomForestrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreadxlrematchrematch2reprexrlangrmarkdownROCRrstudioapirvestsassscalesselectrshapestringistringrSuperLearnersurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml