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]

Ricrt_0.1.0.tar.gz
Ricrt_0.1.0.zip(r-4.7-any)Ricrt_0.1.0.zip(r-4.6-any)Ricrt_0.1.0.zip(r-4.5-any)
Ricrt_0.1.0.tgz(r-4.6-any)Ricrt_0.1.0.tgz(r-4.5-any)
Ricrt_0.1.0.tar.gz(r-4.7-any)Ricrt_0.1.0.tar.gz(r-4.6-any)
Ricrt_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
Ricrt/json (API)

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

On CRAN:

Conda:

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

1.00 score 229 downloads 2 exports 123 dependencies

Last updated from:1cd92b3899. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK165
source / vignettesOK180
linux-releaseOK167
macos-releaseOK192
macos-oldrelOK186
windows-develOK110
windows-releaseOK106
windows-oldrelOK107
wasm-releaseOK131

Exports:QuantileAnalysisRicrt

Dependencies:askpassbackportsbase64encbitbit64bitopsblobbroombslibcachemcallrcaToolscellrangerclicliprcodetoolsconflictedcpp11crayoncurlcvAUCdata.tableDBIdbplyrdigestdplyrdtplyrevaluatefarverfastmapfontawesomeforcatsforeachfsgamgarglegenericsggplot2glmnetgluegoogledrivegooglesheets4gplotsgtablegtoolshavenhighrhmshtmltoolshttridsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelubridatemagrittrMatrixmemoisemimemodelrnnlsopensslotelpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrandomForestrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreadxlrematchrematch2reprexrlangrmarkdownROCRrstudioapirvestS7sassscalesselectrshapestringistringrSuperLearnersurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml