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    

This is the development version of LEA; for the stable release version, see LEA.

LEA: an R package for Landscape and Ecological Association Studies

Bioconductor version: Development (3.7)

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). LEA is mainly based on optimized C programs that can scale with the dimension of large data sets.

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

Maintainer: Eric Frichot <eric.frichot at gmail.com>, Olivier Francois <olivier.francois at grenoble-inp.fr>

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 2.1.0
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
License GPL-3
Depends R (>= 3.3.0), methods, stats, utils, graphics
Imports
LinkingTo
Suggests knitr
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.

Source Package LEA_2.1.0.tar.gz
Windows Binary LEA_2.1.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) LEA_2.1.0.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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