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gemma2  

GEMMA Multivariate Linear Mixed Model
View on CRAN: Click here


Download and install gemma2 package within the R console
Install from CRAN:
install.packages("gemma2")

Install from Github:
library("remotes")
install_github("cran/gemma2")

Install by package version:
library("remotes")
install_version("gemma2", "0.1.3")



Attach the package and use:
library("gemma2")
Maintained by
Frederick Boehm
[Scholar Profile | Author Map]
First Published: 2019-10-01
Latest Update: 2020-10-24
Description:
Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (2014) (). Of particular interest is the estimation of variance components with restricted maximum likelihood (REML) methods. Genome-wide efficient mixed-model association (GEMMA), as implemented in the package 'gemma2', uses an expectation-maximization algorithm for variance components inference for use in quantitative trait locus studies.
How to cite:
Frederick Boehm (2019). gemma2: GEMMA Multivariate Linear Mixed Model. R package version 0.1.3, https://cran.r-project.org/web/packages/gemma2. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.1.1 (2019-10-01 14:00)
Other packages that cited gemma2 R package
View gemma2 citation profile
Other R packages that gemma2 depends, imports, suggests or enhances
Complete documentation for gemma2
Functions, R codes and Examples using the gemma2 R package
Some associated functions: MphCalcLogL . MphEM . UpdateRL_B . calc_XHiY . calc_omega . calc_qi . calc_sigma . center_kinship . eigen2 . eigen_proc . gemma2 . stagger_mats . update_e . update_u . update_v . 
Some associated R codes: MphCalcLogL.R . MphEM.R . calc_XHiY.R . center_kinship.R . eigen2.R . stagger_mats.R . update_u.R .  Full gemma2 package functions and examples
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