npmlreg: Nonparametric Maximum Likelihood Estimation for Random Effect Models

Nonparametric maximum likelihood estimation or Gaussian quadrature for overdispersed generalized linear models and variance component models.

Version: 0.46-5
Depends: R (≥ 2.3.1)
Imports: statmod (≥ 1.4.20)
Suggests: MASS, nlme, lattice
Published: 2018-08-31
Author: Jochen Einbeck, Ross Darnell and John Hinde
Maintainer: Jochen Einbeck <jochen.einbeck at durham.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: npmlreg results

Downloads:

Reference manual: npmlreg.pdf
Vignettes: NPML estimation for random effect models in R
Package source: npmlreg_0.46-5.tar.gz
Windows binaries: r-devel: npmlreg_0.46-5.zip, r-release: npmlreg_0.46-5.zip, r-oldrel: npmlreg_0.46-5.zip
OS X binaries: r-release: npmlreg_0.46-5.tgz, r-oldrel: npmlreg_0.46-5.tgz
Old sources: npmlreg archive

Reverse dependencies:

Reverse imports: boxcoxmix

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