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 (Hunter, D. R., & Lange, K. (2004) <doi:10.1198/0003130042836>).

Version: 2.1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.12.13), Matrix, parallel, stats, MASS, utils
LinkingTo: Rcpp, RcppEigen
Published: 2021-09-27
Author: Fabien Laporte, Tristan Mary-Huard
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_2.1.0.tar.gz
Windows binaries: r-devel: MM4LMM_2.1.0.zip, r-release: MM4LMM_2.1.0.zip, r-oldrel: MM4LMM_2.1.0.zip
macOS binaries: r-release (arm64): MM4LMM_2.1.0.tgz, r-oldrel (arm64): MM4LMM_2.1.0.tgz, r-release (x86_64): MM4LMM_2.1.0.tgz, r-oldrel (x86_64): MM4LMM_2.1.0.tgz
Old sources: MM4LMM archive

Reverse dependencies:

Reverse imports: RAINBOWR

Linking:

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