Package: WinRatio 1.0

Kevin Duarte

WinRatio: Win Ratio for Prioritized Outcomes and 95% Confidence Interval

Calculate the win ratio for prioritized outcomes and the 95% confidence interval based on Bebu and Lachin (2016) <doi:10.1093/biostatistics/kxv032>. Three type of outcomes can be analyzed: survival "failure-time" events, repeated survival "failure-time" events and continuous or ordinal "non-failure time" events that are captured at specific time-points in the study.

Authors:Kevin Duarte, Joao Pedro Ferreira

WinRatio_1.0.tar.gz
WinRatio_1.0.tar.gz(r-4.5-noble)WinRatio_1.0.tar.gz(r-4.4-noble)
WinRatio_1.0.tgz(r-4.4-emscripten)WinRatio_1.0.tgz(r-4.3-emscripten)
WinRatio.pdf |WinRatio.html✨
WinRatio/json (API)

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

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

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

cpp

1.00 score 184 downloads 3 exports 107 dependencies

Last updated 4 years agofrom:7d7b0cdb77. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 08 2024
R-4.5-linux-x86_64OKDec 08 2024

Exports:is.binarysummary.WinRatiowinratio

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprcolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmeopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerRcppreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestsassscalesselectrstringistringrsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml