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]

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ahaz.pdf |ahaz.html✨
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

2.66 score 1 stars 7 packages 21 scripts 1.0k downloads 10 exports 3 dependencies

Last updated from:a7d4de2fc7. Checks:12 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK136
linux-devel-x86_64OK115
source / vignettesOK152
linux-release-arm64OK116
linux-release-x86_64OK112
macos-devel-arm64OK153
macos-devel-x86_64OK247
macos-release-arm64OK139
macos-release-x86_64OK248
windows-develOK111
windows-releaseOK78
wasm-releaseOK97

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

Dependencies:latticeMatrixsurvival