glmc: Fitting Generalized Linear Models Subject to Constraints

Fits generalized linear models where the parameters are subject to linear constraints. The model is specified by giving a symbolic description of the linear predictor, a description of the error distribution, and a matrix of constraints on the parameters.

Version:	0.3-1
Imports:	emplik, stats
Published:	2018-12-12
DOI:	10.32614/CRAN.package.glmc
Author:	Sanjay Chaudhuri [aut, cre], Mark S. Handcock [aut], Michael S. Rendall [ctb]
Maintainer:	Sanjay Chaudhuri <sanjay at stat.nus.edu.sg>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	glmc citation info
CRAN checks:	glmc results

Documentation:

Reference manual:

glmc.html , glmc.pdf

Downloads:

Package source:	glmc_0.3-1.tar.gz
Windows binaries:	r-devel: glmc_0.3-1.zip, r-release: glmc_0.3-1.zip, r-oldrel: glmc_0.3-1.zip
macOS binaries:	r-release (arm64): glmc_0.3-1.tgz, r-oldrel (arm64): glmc_0.3-1.tgz, r-release (x86_64): glmc_0.3-1.tgz, r-oldrel (x86_64): glmc_0.3-1.tgz
Old sources:	glmc archive

Linking:

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