To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("LEA")
In most cases, you don't need to download the package archive at all.
LEA
LEA: an R package for Landscape and Ecological Association Studies
Bioconductor version: 3.1
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 is not available
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")
| R Script | LEA: An R Package for Landscape and Ecological Association Studies | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Clustering, Regression, Software, StatisticalMethod |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.1 (R-3.2) (< 6 months) |
| License | GPL-3 |
| Depends | R (>= 3.1.0), methods |
| 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_1.0.0.tar.gz |
| Windows Binary | LEA_1.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | LEA_1.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | LEA_1.0.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/LEA/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/LEA/ |
| Package Downloads Report | Download Stats |
Documentation »
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