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polytomous: Polytomous logistic regression for fixed and mixed effects
https://github.com/cran/polytomous
https://github.com/cran/polytomous/blob/master/DESCRIPTION
Package: polytomous
Type: Package
Title: Polytomous logistic regression for fixed and mixed effects
Version: 0.1.6
Date: 2013-12-20
Author: Antti Arppe
Maintainer: Antti Arppe <antti.arppe@iki.fi>
Description: 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.
Acknowledgements: Ideas and input provided by R. Harald Baayen as well
as Terrance M. Nearey in the development of the polytomous
Poisson reformulation function allowing for mixed-effects
logistic regression modeling of polytomous outcome settings are
greatly appreciated.
Depends: R(>= 2.10.1), stats, MASS, Hmisc, lme4
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2013-12-20 09:59:31 UTC; arppe
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-20 13:39:44
- つまり、
- 「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.」
- 3つ以上の順序のないカテゴリ変数を応答変数とするロジスティック回帰
https://sugiura-ken.org/wiki/