Nonparametric maximum likelihood estimation for random effect models
Nonparametric maximum likelihood estimation or Gaussian quadrature
for overdispersed generalized linear models and variance component models.
The main functions are
|License:||GPL version 2 or newer|
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.
This R package is based on several GLIM4 macros originally written by
Murray Aitkin and Brian Francis. The authors are also grateful to
Nick Sofroniou for retrieving the suicide data and providing the function
The work on this R package was supported by Science Foundation Ireland Basic Research Grant 04/BR/M0051.
Jochen Einbeck, Ross Darnell and John Hinde.
Maintainer: Jochen Einbeck <email@example.com>
Aitkin, M., Francis, B. and Hinde, J. (2009). Statistical Modelling in R. Oxford Statistical Science Series, Oxford, UK.
Einbeck, J., and Hinde, J.: Nonparametric maximum likelihood estimation
for random effect models in R. Vignette to R package npmlreg.
vignette("npmlreg-v") to open it.
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