lqa: Penalized Likelihood Inference for GLMs

This package provides some basic infrastructure and tools to fit Generalized Linear Models (GLMs) via penalized likelihood inference. Estimating procedures already implemented are the LQA algorithm (that is where its name come from), P-IRLS, RidgeBoost, GBlockBoost and ForwardBoost.

Version: 1.0-3
Published: 2012-10-29
Author: Jan Ulbricht
Maintainer: Jan Ulbricht <jan.ulbricht at stat.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
CRAN checks: lqa results

Downloads:

Reference manual: lqa.pdf
Package source: lqa_1.0-3.tar.gz
OS X binary: lqa_1.0-3.tgz
Windows binary: lqa_1.0-3.zip
Old sources: lqa archive

Reverse dependencies:

Reverse suggests: catdata