Package: MM4LMM 3.0.3

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>).

Authors:Fabien Laporte [aut, cre], Tristan Mary-Huard [aut], GQMS CoreFunctions Team [aut]

MM4LMM_3.0.3.tar.gz
MM4LMM_3.0.3.zip(r-4.7-x86_64)MM4LMM_3.0.3.zip(r-4.7-arm64)MM4LMM_3.0.3.zip(r-4.6-x86_64)MM4LMM_3.0.3.zip(r-4.6-arm64)MM4LMM_3.0.3.zip(r-4.5-x86_64)
MM4LMM_3.0.3.tgz(r-4.6-x86_64)MM4LMM_3.0.3.tgz(r-4.6-arm64)MM4LMM_3.0.3.tgz(r-4.5-x86_64)MM4LMM_3.0.3.tgz(r-4.5-arm64)
MM4LMM_3.0.3.tar.gz(r-4.7-arm64)MM4LMM_3.0.3.tar.gz(r-4.7-x86_64)MM4LMM_3.0.3.tar.gz(r-4.6-arm64)MM4LMM_3.0.3.tar.gz(r-4.6-x86_64)
MM4LMM_3.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MM4LMM/json (API)

# Install 'MM4LMM' in R:
install.packages('MM4LMM', repos = c('https://laportefab.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

2.03 score 2 packages 18 scripts 518 downloads 1 mentions 4 exports 22 dependencies

Last updated from:c3cbdd8bd5. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK152
linux-devel-x86_64OK133
source / vignettesOK148
linux-release-arm64OK125
linux-release-x86_64OK143
macos-release-arm64OK139
macos-release-x86_64OK362
macos-oldrel-arm64OK107
macos-oldrel-x86_64OK337
windows-devel-arm64OK350
windows-devel-x86_64OK178
windows-release-arm64OK353
windows-release-x86_64OK143
windows-oldrel-x86_64OK147
wasm-releaseOK99

Exports:AnovaTestMMBlupMMEstMMVcov

Dependencies:clicorpcordplyrgenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6RcppRcppEigenrlangtibbletidyselectutf8vctrswithr