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 |
| 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 |