Package: WLreg 1.0.0.1

Xiaodong Luo

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.tar.gz(r-4.5-noble)WLreg_1.0.0.1.tar.gz(r-4.4-noble)
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 = 'https://cloud.r-project.org')
Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda-Forge:

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

fortran

1.00 score 121 downloads 3 exports 4 dependencies

Last updated 2 years agofrom:3f8a31b627. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-linux-x86_64OKMar 02 2025

Exports:winregwrlogisticzinv

Dependencies:inlinelatticeMatrixsurvival