polytomous: Polytomous logistic regression for fixed and mixed effects

Logistic regression modeling for polytomous settings (more than two categorical outcomes) with both fixed and mixed effect predictors, and univariate and bivariate analysis of categorical, unordered data.

Version: 0.1.6
Depends: R (≥ 2.10.1), stats, MASS, Hmisc, lme4
Published: 2013-12-20
Author: Antti Arppe
Maintainer: Antti Arppe <antti.arppe at iki.fi>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: polytomous results

Downloads:

Reference manual: polytomous.pdf
Vignettes: Extracting exemplars and prototypes
Polytomous logistic regression with Shanghainese topic marker data
Package source: polytomous_0.1.6.tar.gz
Windows binaries: r-devel: polytomous_0.1.6.zip, r-release: polytomous_0.1.6.zip, r-oldrel: polytomous_0.1.6.zip
OS X Snow Leopard binaries: r-release: polytomous_0.1.6.tgz, r-oldrel: polytomous_0.1.6.tgz
OS X Mavericks binaries: r-release: polytomous_0.1.6.tgz
Old sources: polytomous archive