Package: WLreg 1.0.0.1

WLreg: Regression Analysis Based on Win Loss Endpoints

Use various regression models for the analysis of win loss endpoints adjusting for non-binary and multivariate covariates.

Authors:Xiaodong Luo [aut, cre], Sanofi [cph]

WLreg_1.0.0.1.tar.gz
WLreg_1.0.0.1.zip(r-4.5)WLreg_1.0.0.1.zip(r-4.4)WLreg_1.0.0.1.zip(r-4.3)
WLreg_1.0.0.1.tgz(r-4.4-x86_64)WLreg_1.0.0.1.tgz(r-4.4-arm64)WLreg_1.0.0.1.tgz(r-4.3-x86_64)WLreg_1.0.0.1.tgz(r-4.3-arm64)
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WLreg_1.0.0.1.tgz(r-4.4-emscripten)WLreg_1.0.0.1.tgz(r-4.3-emscripten)
WLreg.pdf |WLreg.html✨
WLreg/json (API)

# Install 'WLreg' in R:
install.packages('WLreg', repos = c('https://marvels2031.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

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

1.00 score 5 scripts 126 downloads 3 exports 4 dependencies

Last updated 1 years agofrom:3f8a31b627. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-win-x86_64OKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024
R-4.4-win-x86_64OKNov 10 2024
R-4.4-mac-x86_64OKNov 10 2024
R-4.4-mac-aarch64OKNov 10 2024
R-4.3-win-x86_64OKNov 10 2024
R-4.3-mac-x86_64OKNov 10 2024
R-4.3-mac-aarch64OKNov 10 2024

Exports:winregwrlogisticzinv

Dependencies:inlinelatticeMatrixsurvival