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MM4LMM  

Inference of Linear Mixed Models Through MM Algorithm
View on CRAN: Click here


Download and install MM4LMM package within the R console
Install from CRAN:
install.packages("MM4LMM")

Install from Github:
library("remotes")
install_github("cran/MM4LMM")

Install by package version:
library("remotes")
install_version("MM4LMM", "3.0.3")



Attach the package and use:
library("MM4LMM")
Maintained by
Fabien Laporte
[Scholar Profile | Author Map]
First Published: 2018-05-31
Latest Update: 2022-07-11
Description:
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) ).
How to cite:
Fabien Laporte (2018). MM4LMM: Inference of Linear Mixed Models Through MM Algorithm. R package version 3.0.3, https://cran.r-project.org/web/packages/MM4LMM. Accessed 02 May. 2025.
Previous versions and publish date:
1.0.5 (2018-05-31 22:38), 1.1.4 (2018-12-19 16:40), 1.1.5 (2019-01-15 11:50), 2.0.1 (2019-10-07 12:30), 2.0.2 (2020-03-03 13:00), 2.1.0 (2021-09-27 16:10), 3.0.2 (2022-07-11 17:30)
Other packages that cited MM4LMM R package
View MM4LMM citation profile
Other R packages that MM4LMM depends, imports, suggests or enhances
Complete documentation for MM4LMM
Functions, R codes and Examples using the MM4LMM R package
Some associated functions: AnovaTest . MM4LMM-package . MMBlup . MMEst . MMVcov . QTLDetectionExample . VarianceComponentExample . 
Some associated R codes: AnovaTest.R . Global.R . MM4LMM-internal.R . MMBlup.R . MMEst.R . MMVcov.R . RcppExports.R .  Full MM4LMM package functions and examples
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