MM4LMM: Inference of Linear Mixed Models Through MM Algorithm

The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed models using a Min-Max (MM) algorithm (Laporte, F., Charcosset, A. & Mary-Huard, T. (2022) <doi:10.1371/journal.pcbi.1009659>).

Version:	3.0.2
Depends:	R (≥ 2.10)
Imports:	Rcpp (≥ 0.12.13), Matrix, parallel, stats, MASS, utils, dplyr, purrr, corpcor
LinkingTo:	Rcpp, RcppEigen
Published:	2022-07-11
Author:	Fabien Laporte, Tristan Mary-Huard, GQMS CoreFunctions Team
Maintainer:	Fabien Laporte <fabien.laporte at outlook.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	MM4LMM results

Documentation:

Reference manual:

MM4LMM.pdf

Downloads:

Package source:	MM4LMM_3.0.2.tar.gz
Windows binaries:	r-devel: MM4LMM_3.0.2.zip, r-release: MM4LMM_3.0.2.zip, r-oldrel: MM4LMM_3.0.2.zip
macOS binaries:	r-release (arm64): MM4LMM_3.0.2.tgz, r-oldrel (arm64): MM4LMM_3.0.2.tgz, r-release (x86_64): MM4LMM_3.0.2.tgz, r-oldrel (x86_64): MM4LMM_3.0.2.tgz
Old sources:	MM4LMM archive

Reverse dependencies:

Reverse imports:

EpiTest, RAINBOWR

Linking:

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