glmperm: Inference in Generalized Linear Models

A permutation test is used for inference in generalized linear models (glm). The procedure is useful when parameter estimates in ordinary glm fail to converge or are unreliable due to small sample size.

Version: 1.0-5
Depends: survival
Suggests: coin, MASS
Published: 2013-03-01
Author: Wiebke Werft, Axel Benner and Douglas M. Potter
Maintainer: Wiebke Werft <w.werft at Dkfz-Heidelberg.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: glmperm results

Downloads:

Reference manual: glmperm.pdf
Package source: glmperm_1.0-5.tar.gz
Windows binaries: r-devel: glmperm_1.0-5.zip, r-release: glmperm_1.0-5.zip, r-oldrel: glmperm_1.0-5.zip
OS X Snow Leopard binaries: r-release: glmperm_1.0-5.tgz, r-oldrel: glmperm_1.0-5.tgz
OS X Mavericks binaries: r-release: glmperm_1.0-5.tgz
Old sources: glmperm archive