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:
MM4LMM_3.0.3.tar.gz
MM4LMM_3.0.3.zip(r-4.5)MM4LMM_3.0.3.zip(r-4.4)MM4LMM_3.0.3.zip(r-4.3)
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)
MM4LMM_3.0.3.tar.gz(r-4.5-noble)MM4LMM_3.0.3.tar.gz(r-4.4-noble)
MM4LMM_3.0.3.tgz(r-4.4-emscripten)MM4LMM_3.0.3.tgz(r-4.3-emscripten)
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')) |
- QTLDetectionExample - QTL Detection Example
- VarianceComponentExample - Variance Component Example
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 24 days agofrom:c3cbdd8bd5. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win-x86_64 | OK | Nov 19 2024 |
R-4.5-linux-x86_64 | OK | Nov 19 2024 |
R-4.4-win-x86_64 | OK | Nov 19 2024 |
R-4.4-mac-x86_64 | OK | Nov 19 2024 |
R-4.4-mac-aarch64 | OK | Nov 19 2024 |
R-4.3-win-x86_64 | OK | Nov 19 2024 |
R-4.3-mac-x86_64 | OK | Nov 19 2024 |
R-4.3-mac-aarch64 | OK | Nov 19 2024 |
Exports:AnovaTestMMBlupMMEstMMVcov
Dependencies:clicorpcordplyrfansigenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigpurrrR6RcppRcppEigenrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Min-Max algorithms for Variance Component Mixed Model Inference. | MM4LMM-package MM4LMM |
Type I and Type III Tests for mixed models. | AnovaTest |
BLUP from MM4LMM results | MMBlup |
MM inference method for variance component mixed models | MMEst |
Covariance Matrix for variance estimators. | MMVcov |
QTL Detection Example | QTLDetectionExample |
Variance Component Example | VarianceComponentExample |