LEA

DOI: 10.18129/B9.bioc.LEA    

LEA: an R package for Landscape and Ecological Association Studies

Bioconductor version: Release (3.6)

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>

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	2.0.0
In Bioconductor since	BioC 3.1 (R-3.2) (3 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_2.0.0.tar.gz
Windows Binary	LEA_2.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	LEA_2.0.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/LEA
Package Short Url	http://bioconductor.org/packages/LEA/
Package Downloads Report	Download Stats