ahaz: Regularization for semiparametric additive hazards regression

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

Version: 1.14
Depends: R (≥ 2.10), survival, Matrix
Published: 2013-06-03
Author: Anders Gorst-Rasmussen
Maintainer: Anders Gorst-Rasmussen <agorstras at gmail.com>
License: GPL-2
URL: http://www.gorst.dk/software.htm
NeedsCompilation: yes
Citation: ahaz citation info
In views: MachineLearning, Survival
CRAN checks: ahaz results

Downloads:

Reference manual: ahaz.pdf
Package source: ahaz_1.14.tar.gz
MacOS X binary: ahaz_1.14.tgz
Windows binary: ahaz_1.14.zip
Old sources: ahaz archive