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

Documentation:

Reference manual:	npmlreg.pdf
Vignettes:	NPML estimation for random effect models in R

Downloads:

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
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

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