lfmm: R package : Fast and Accurate statistical methods for...
In lfmm: Latent Factor Mixed Models
Description
Implements statistical methods for adjusting confounding factors
in association studies.
References
Caye, K., B. Jumentier, J. Lepeule, and O. François, 2019 LFMM 2: fast and accurate inference of gene-environment associations in genome-widestudies. Mol. Biol. Evol. 36: 852–860.https://doi.org/10.1093/molbev/msz008
B. Jumentier, Caye, K., J. Lepeule, and O. François, 2019 Sparse latent factor regression models for genome-wide and epigenome-wide association studies (in prep)
lfmm documentation built on June 30, 2021, 5:07 p.m.
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Description
Implements statistical methods for adjusting confounding factors in association studies.
References
Caye, K., B. Jumentier, J. Lepeule, and O. François, 2019 LFMM 2: fast and accurate inference of gene-environment associations in genome-widestudies. Mol. Biol. Evol. 36: 852–860.https://doi.org/10.1093/molbev/msz008
B. Jumentier, Caye, K., J. Lepeule, and O. François, 2019 Sparse latent factor regression models for genome-wide and epigenome-wide association studies (in prep)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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