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
DOI: 10.32614/CRAN.package.MM4LMM
Author: Fabien Laporte, Tristan Mary-Huard, GQMS CoreFunctions Team
Maintainer: Fabien Laporte <fabien.laporte at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: MM4LMM results


Reference manual: MM4LMM.pdf


Package source: MM4LMM_3.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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