Package: ahaz 1.15.1

ahaz: Regularization for Semiparametric Additive Hazards Regression

Computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model.

Authors:Anders Gorst-Rasmussen [aut, cre]

ahaz_1.15.1.tar.gz
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ahaz_1.15.1.tgz(r-4.6-x86_64)ahaz_1.15.1.tgz(r-4.6-arm64)ahaz_1.15.1.tgz(r-4.5-x86_64)ahaz_1.15.1.tgz(r-4.5-arm64)
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ahaz_1.15.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ahaz/json (API)

# Install 'ahaz' in R:
install.packages('ahaz', repos = c('https://agorstras.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • sorlie - Sorlie gene expressions

On CRAN:

Conda:

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

openblas

2.58 score 1 stars 6 packages 21 scripts 745 downloads 10 exports 3 dependencies

Last updated from:a7d4de2fc7. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK154
linux-devel-x86_64OK120
source / vignettesOK284
linux-release-arm64OK171
linux-release-x86_64OK133
macos-release-arm64OK147
macos-release-x86_64OK234
macos-oldrel-arm64OK197
macos-oldrel-x86_64OK307
windows-develOK83
windows-releaseOK91
windows-oldrelOK85
wasm-releaseOK96

Exports:ahazahaz.adjustahaz.partialahazisisahazpenbic.controlcv.controllasso.controlsscad.controltune.ahazpen

Dependencies:latticeMatrixsurvival