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
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MM4LMM_3.0.3.tgz(r-4.4-x86_64)MM4LMM_3.0.3.tgz(r-4.4-arm64)MM4LMM_3.0.3.tgz(r-4.3-x86_64)MM4LMM_3.0.3.tgz(r-4.3-arm64)
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MM4LMM.pdf |MM4LMM.html✨
MM4LMM/json (API)

# Install 'MM4LMM' in R:
install.packages('MM4LMM', repos = c('https://laportefab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

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

1.82 score 2 packages 11 scripts 290 downloads 1 mentions 4 exports 23 dependencies

Last updated 7 days agofrom:c3cbdd8bd5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64OKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024
R-4.4-win-x86_64OKOct 31 2024
R-4.4-mac-x86_64OKOct 31 2024
R-4.4-mac-aarch64OKOct 31 2024
R-4.3-win-x86_64OKOct 31 2024
R-4.3-mac-x86_64OKOct 31 2024
R-4.3-mac-aarch64OKOct 31 2024

Exports:AnovaTestMMBlupMMEstMMVcov

Dependencies:clicorpcordplyrfansigenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6RcppRcppEigenrlangtibbletidyselectutf8vctrswithr