mcemGLM: Maximum Likelihood Estimation for Generalized Linear Mixed Models

Maximum likelihood estimation for generalized linear mixed models via Monte Carlo EM. For a description of the algorithm see Brian S. Caffo, Wolfgang Jank and Galin L. Jones (2005) <doi:10.1111/j.1467-9868.2005.00499.x>.

Version:	1.1.1
Depends:	trust, stats
Imports:	Rcpp (≥ 0.11.3)
LinkingTo:	Rcpp, RcppArmadillo
Published:	2020-03-03
Author:	Felipe Acosta Archila
Maintainer:	Felipe Acosta Archila <acosta at umn.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	mcemGLM results

Documentation:

Reference manual:	mcemGLM.pdf
Vignettes:	An R Package to Fit Generalized Linear Mixed Models

Downloads:

Package source:	mcemGLM_1.1.1.tar.gz
Windows binaries:	r-devel: mcemGLM_1.1.1.zip, r-release: mcemGLM_1.1.1.zip, r-oldrel: mcemGLM_1.1.1.zip
macOS binaries:	r-release (arm64): mcemGLM_1.1.1.tgz, r-oldrel (arm64): mcemGLM_1.1.1.tgz, r-release (x86_64): mcemGLM_1.1.1.tgz, r-oldrel (x86_64): mcemGLM_1.1.1.tgz
Old sources:	mcemGLM archive

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