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:Milan Bimali [aut, cre], Kamal Joshi [aut], Miaolei Bao [aut]

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'))

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 4 exports 82 dependencies

Last updated from:34b49a7bce. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK130
source / vignettesOK193
linux-releaseOK120
windows-develOK82
windows-releaseOK65
wasm-releaseOK123

Exports:%>%create_matched_randomizationdat_simsumm_stats

Dependencies:backportsbase64encbigDbitopsbslibcachemcardscardxcheckmatecliclustercolorspacecommonmarkcpp11curldata.tabledigestdplyrevaluatefarverfastmapfontawesomeforeignFormulafsgenericsggplot2gluegridExtragtgtablegtsummaryhighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitejuicyjuiceknitrlabelinglifecyclelitedownmagrittrmarkdownMASSmemoisemimenbpMatchingnnetpillarpkgconfigpurrrR6rappdirsRColorBrewerRcppreactablereactRrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtibbletidyrtidyselecttinytexutf8V8vctrsviridisLitewithrxfunxml2yaml

Readme and manuals

Help Manual

Help pageTopics
Create Matched Randomizationcreate_matched_randomization
Data Simulationdat_sim
Summary Statisticssumm_stats