To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LEA")

In most cases, you don't need to download the package archive at all.

LEA

DOI: 10.18129/B9.bioc.LEA    

LEA: an R package for Landscape and Ecological Association Studies

Bioconductor version: Release (3.5)

LEA is an R package dedicated to landscape genomics and ecological association tests. LEA can run analyses of population structure and genome scans for local adaptation. It includes statistical methods for estimating ancestry coefficients from large genotypic matrices and evaluating the number of ancestral populations (snmf, pca); and identifying genetic polymorphisms that exhibit high correlation with some environmental gradient or with the variables used as proxies for ecological pressures (lfmm), and controlling the false discovery rate. LEA is mainly based on optimized C programs that can scale with the dimension of very large data sets.

Author: Eric Frichot <eric.frichot at gmail.com>, Olivier Francois <olivier.francois at imag.fr>

Maintainer: Eric Frichot <eric.frichot at gmail.com>

Citation (from within R, enter citation("LEA")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("LEA")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("LEA")

 

PDF R Script LEA: An R Package for Landscape and Ecological Association Studies
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, Regression, Software, StatisticalMethod
Version 1.8.1
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
License GPL-3
Depends R (>= 3.0.2), methods, stats, utils
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://membres-timc.imag.fr/Olivier.Francois/lea.html
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source LEA_1.8.1.tar.gz
Windows Binary LEA_1.8.1.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) LEA_1.8.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/LEA
Package Short Url http://bioconductor.org/packages/LEA/
Package Downloads Report Download Stats

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