gemma2
GEMMA Multivariate Linear Mixed Model
Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (2014) (https://www.nature.com/articles/nmeth.2848). 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.
- Version0.1.3
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Last release10/24/2020
Documentation
Team
Frederick Boehm
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Last 30 days
This package has been downloaded 154 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 2,204 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 129 downloads.
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Dependencies
- Imports1 package
- Suggests5 packages
- Reverse Imports1 package