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:
Ricrt_0.1.0.tar.gz
Ricrt_0.1.0.zip(r-4.5)Ricrt_0.1.0.zip(r-4.4)Ricrt_0.1.0.zip(r-4.3)
Ricrt_0.1.0.tgz(r-4.4-any)Ricrt_0.1.0.tgz(r-4.3-any)
Ricrt_0.1.0.tar.gz(r-4.5-noble)Ricrt_0.1.0.tar.gz(r-4.4-noble)
Ricrt_0.1.0.tgz(r-4.4-emscripten)Ricrt_0.1.0.tgz(r-4.3-emscripten)
Ricrt.pdf |Ricrt.html✨
Ricrt/json (API)
# Install 'Ricrt' in R: |
install.packages('Ricrt', repos = c('https://flankado.r-universe.dev', 'https://cloud.r-project.org')) |
- example1 - Example data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:1cd92b3899. Checks:7 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 23 2025 |
R-4.5-win | OK | Jan 23 2025 |
R-4.5-linux | OK | Jan 23 2025 |
R-4.4-win | OK | Jan 23 2025 |
R-4.4-mac | OK | Jan 23 2025 |
R-4.3-win | OK | Jan 23 2025 |
R-4.3-mac | OK | Jan 23 2025 |
Exports:QuantileAnalysisRicrt
Dependencies:askpassbackportsbase64encbitbit64bitopsblobbroombslibcachemcallrcaToolscellrangerclicliprcodetoolscolorspaceconflictedcpp11crayoncurlcvAUCdata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsforeachfsgamgarglegenericsggplot2glmnetgluegoogledrivegooglesheets4gplotsgtablegtoolshavenhighrhmshtmltoolshttridsisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmennlsopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrandomForestrappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreadrreadxlrematchrematch2reprexrlangrmarkdownROCRrstudioapirvestsassscalesselectrshapestringistringrSuperLearnersurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Example data | example1 |
Quantile Effect Analysis | QuantileAnalysis |
Ricrt | Ricrt |