Package: LEA
Title: LEA: an R package for Landscape and Ecological Association
        Studies
Version: 3.8.0
Date: 2022-01-30
Author: Eric Frichot <eric.frichot@gmail.com>, Olivier Francois
        <olivier.francois@grenoble-inp.fr>, Clement Gain 
        <clement.gain@univ-grenoble-alpes.fr>
Maintainer: Olivier Francois
 <olivier.francois@grenoble-inp.fr>, Eric Frichot <eric.frichot@gmail.com>
Depends: R (>= 3.3.0), methods, stats, utils, graphics
Suggests: knitr
Description: LEA is an R package dedicated to population genomics, landscape genomics and
        genotype-environment association tests. LEA can run analyses of
        population structure and genome-wide tests for local adaptation, 
        and also performs imputation of missing genotypes. 
        The package includes statistical methods for estimating ancestry
        coefficients from large genotypic matrices and for evaluating the
        number of ancestral populations (snmf, pca). It performs statistical 
        tests using latent factor mixed models for identifying
        genetic polymorphisms that exhibit association with
        environmental gradients or phenotypic traits (lfmm2). 
        In addition, LEA computes values of genetic offset based on new or predicted environments. 
       The package includes factor methods for estimating ancestry
        coefficients from large genotypic matrices and for evaluating the
        number of ancestral populations (snmf, pca). 
        LEA is mainly based on optimized programs
        that can scale with the dimensions of large data sets.
License: GPL-3
biocViews: Software, Statistical Method, Clustering, Regression
URL: http://membres-timc.imag.fr/Olivier.Francois/lea.html
NeedsCompilation: yes
Packaged: 2022-04-26 23:28:42 UTC; biocbuild
VignetteBuilder: knitr
RoxygenNote: 6.0.1
git_url: https://git.bioconductor.org/packages/LEA
git_branch: RELEASE_3_15
git_last_commit: 2d0dc86
git_last_commit_date: 2022-04-26
Date/Publication: 2022-04-26
Built: R 4.2.0; x86_64-w64-mingw32; 2022-04-27 09:39:39 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
