Package: LEA
Title: LEA: an R package for Landscape and Ecological Association
        Studies
Version: 3.0.0
Date: 2020-04-16
Author: Eric Frichot <eric.frichot@gmail.com>, Olivier Francois
        <olivier.francois@grenoble-inp.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 landscape genomics and
        ecological association tests. LEA can run analyses of
        population structure and genomewide tests for local adaptation. 
        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 (lfmm and lfmm2). 
        LEA is mainly based on optimized programs
        that can scale with the dimension 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: 2020-04-28 04:16:09 UTC; biocbuild
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/LEA
git_branch: RELEASE_3_11
git_last_commit: a2382ca
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
Built: R 4.0.0; i386-w64-mingw32; 2020-04-28 17:17:06 UTC; windows
Archs: i386, x64
