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