npmlreg.package: Nonparametric maximum likelihood estimation for random effect...
In npmlreg: Nonparametric Maximum Likelihood Estimation for Random Effect Models

Description Details Acknowledgments Author(s) References See Also

Nonparametric maximum likelihood estimation or Gaussian quadrature for overdispersed generalized linear models and variance component models. The main functions are alldist and allvc.

Package:	npmlreg
Type:	Package
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 gqz.

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 <jochen.einbeck@durham.ac.uk>

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. Type vignette("npmlreg-v") to open it.

glm

npmlreg documentation built on May 2, 2019, 9:31 a.m.