Package: PairedRand 0.1.0

Milan Bimali
PairedRand: Paired Randomization Functions
Provides tools for generating simulated study data, creating matched participant pairs using optimal nonbipartite matching, randomizing participants within pairs into study groups, and assessing post-randomization balance using descriptive summary statistics and standardized mean differences. The matching methodology is based on Lu et al. (2011) <doi:10.1198/tast.2011.08294>.
Authors:
PairedRand_0.1.0.tar.gz
PairedRand_0.1.0.zip(r-4.7-any)PairedRand_0.1.0.zip(r-4.6-any)
PairedRand_0.1.0.tar.gz(r-4.7-any)PairedRand_0.1.0.tar.gz(r-4.6-any)
PairedRand_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PairedRand/json (API)
| # Install 'PairedRand' in R: |
| install.packages('PairedRand', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:34b49a7bce. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 130 | ||
| source / vignettes | OK | 193 | ||
| linux-release | OK | 120 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 65 | ||
| wasm-release | OK | 123 |
Exports:%>%create_matched_randomizationdat_simsumm_stats
Dependencies:backportsbase64encbigDbitopsbslibcachemcardscardxcheckmatecliclustercolorspacecommonmarkcpp11curldata.tabledigestdplyrevaluatefarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtgtablegtsummaryhighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuiceknitrlabelinglifecyclelitedownmagrittrmarkdownMASSmemoisemimenbpMatchingnnetpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppreactablereactRrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create Matched Randomization | create_matched_randomization |
| Data Simulation | dat_sim |
| Summary Statistics | summ_stats |