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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:3.0.3
Depends:R (≥ 2.10)
Imports:Rcpp (≥ 0.12.13),Matrix, parallel, stats,MASS, utils,dplyr,purrr,corpcor
LinkingTo:Rcpp,RcppEigen
Published:2024-10-30
DOI:10.32614/CRAN.package.MM4LMM
Author:Fabien Laporte [aut, cre], Tristan Mary-Huard [aut], GQMS CoreFunctions Team [aut]
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.html ,MM4LMM.pdf

Downloads:

Package source: MM4LMM_3.0.3.tar.gz
Windows binaries: r-devel:MM4LMM_3.0.3.zip, r-release:MM4LMM_3.0.3.zip, r-oldrel:MM4LMM_3.0.3.zip
macOS binaries: r-release (arm64):MM4LMM_3.0.3.tgz, r-oldrel (arm64):MM4LMM_3.0.3.tgz, r-release (x86_64):MM4LMM_3.0.3.tgz, r-oldrel (x86_64):MM4LMM_3.0.3.tgz
Old sources: MM4LMM archive

Reverse dependencies:

Reverse imports:EpiTest,RAINBOWR

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MM4LMMto link to this page.


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