Fast and accurate inference of gene-environment associations (GEA) in genome-wide studies (Caye et al., 2019, <doi:10.1093/molbev/msz008>). We developed a least-squares estimation approach for confounder and effect sizes estimation that provides a unique framework for several categories of genomic data, not restricted to genotypes. The speed of the new algorithm is several times faster than the existing GEA approaches, then our previous version of the 'LFMM' program present in the 'LEA' package (Frichot and Francois, 2015, <doi:10.1111/2041-210X.12382>).
| Version: | 1.1 |
| Depends: | R (≥ 3.2.3) |
| Imports: | foreach, rmarkdown, knitr, MASS, RSpectra, stats, ggplot2, readr, methods, purrr, Rcpp |
| LinkingTo: | RcppEigen, Rcpp |
| Suggests: | testthat |
| Published: | 2021-06-30 |
| DOI: | 10.32614/CRAN.package.lfmm |
| Author: | Basile Jumentier [aut, cre], Kevin Caye [ctb], Olivier François [ctb] |
| Maintainer: | Basile Jumentier <basile.jumentier at gmail.com> |
| BugReports: | https://github.com/bcm-uga/lfmm/issues |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | lfmm results |
| Reference manual: | lfmm.html , lfmm.pdf |
| Vignettes: |
Overview of R Package lfmm (source, R code) |
| Package source: | lfmm_1.1.tar.gz |
| Windows binaries: | r-devel: lfmm_1.1.zip, r-release: lfmm_1.1.zip, r-oldrel: lfmm_1.1.zip |
| macOS binaries: | r-release (arm64): lfmm_1.1.tgz, r-oldrel (arm64): lfmm_1.1.tgz, r-release (x86_64): lfmm_1.1.tgz, r-oldrel (x86_64): lfmm_1.1.tgz |
| Old sources: | lfmm archive |
Please use the canonical form https://CRAN.R-project.org/package=lfmm to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.