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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.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 form https://CRAN.R-project.org/package=MM4LMM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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