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 analysis of categorical, unordered
data.
| Version: |
0.1.4 |
| Depends: |
R (≥ 2.10.1), stats, MASS, Hmisc, lme4 |
| Published: |
2012-02-22 |
| Author: |
Antti Arppe |
| Maintainer: |
Antti Arppe <antti.arppe at helsinki.fi> |
| License: |
GPL (≥ 2) |
| NeedsCompilation: |
no |
| CRAN checks: |
polytomous results |
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