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
DOI: 10.32614/CRAN.package.npmlreg
Author: Jochen Einbeck, Ross Darnell and John Hinde
Maintainer: Jochen Einbeck <jochen.einbeck at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: npmlreg results


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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): npmlreg_0.46-5.tgz, r-oldrel (arm64): npmlreg_0.46-5.tgz, r-release (x86_64): npmlreg_0.46-5.tgz, r-oldrel (x86_64): npmlreg_0.46-5.tgz
Old sources: npmlreg archive

Reverse dependencies:

Reverse imports: boxcoxmix


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