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-4.7)WLreg_1.0.0.1.zip(r-4.6)WLreg_1.0.0.1.zip(r-4.5)
WLreg_1.0.0.1.tgz(r-4.6-x86_64)WLreg_1.0.0.1.tgz(r-4.6-arm64)WLreg_1.0.0.1.tgz(r-4.5-x86_64)WLreg_1.0.0.1.tgz(r-4.5-arm64)
WLreg_1.0.0.1.tar.gz(r-4.7-arm64)WLreg_1.0.0.1.tar.gz(r-4.7-x86_64)WLreg_1.0.0.1.tar.gz(r-4.6-arm64)WLreg_1.0.0.1.tar.gz(r-4.6-x86_64)
WLreg_1.0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WLreg/json (API)

# Install 'WLreg' in R:
install.packages('WLreg', repos = c('https://marvels2031.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

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

fortran

1.00 score 6 scripts 153 downloads 3 exports 4 dependencies

Last updated from:3f8a31b627. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK111
source / vignettesOK167
linux-release-arm64OK156
linux-release-x86_64OK111
macos-release-arm64OK92
macos-release-x86_64OK250
macos-oldrel-arm64OK101
macos-oldrel-x86_64OK242
windows-develOK101
windows-releaseOK122
windows-oldrelOK87
wasm-releaseOK91

Exports:winregwrlogisticzinv

Dependencies:inlinelatticeMatrixsurvival