mixcat-package: Mixed effects cumulative link and logistic regression models
In mixcat: Mixed Effects Cumulative Link and Logistic Regression Models

Description Details Acknowledgments Author(s) References

Mixed effects models for the analysis of binary or multinomial (ordinal or nominal) data with non-parametric distribution for the random effects. The main function is npmlt and it fits cumulative and baseline logit models.

Package:	mixcat
Type:	Package
Version:	1.0-4
Date:	2019-12-20
License:	GPL (>=2)
LazyLoad:	no

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

For details on the GNU General Public License see http://www.gnu.org/copyleft/gpl.html or write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.

Papageorgiou's work was supported by the Science Foundation Ireland Research Frontiers grant 07/RFP/MATF448.

Georgios Papageorgiou and John Hinde (2011)

Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

Papageorgiou, G. and Hinde, J. (2012). Multivariate generalized linear mixed models with semi-nonparametric and smooth nonparametric random effects densities. Statistics and Computing 22, 79-92

mixcat documentation built on Jan. 11, 2020, 9:37 a.m.