memgene-package: Spatial pattern detection in genetic distance data using...

In memgene: Spatial Pattern Detection in Genetic Distance Data Using Moran's Eigenvector Maps

Spatial pattern detection in genetic distance data using Moran's Eigenvector Maps

Description

Memgene can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Memgene has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.

Details

Package:	memgene
Type:	Package
Version:	1.0
Date:	2014-06-07
License:	GPL (>=2)

Author(s)

Paul Galpern ([e-mail])
Pedro Peres-Neto ([e-mail])

Maintainer: Paul Galpern ([e-mail])

References

Galpern, P., Peres-Neto, P., Polfus, J., and Manseau, M. 2014. MEMGENE: Spatial pattern detection in genetic distance data. Submitted.

Examples

## The basic interface to MEMGENE is mgQuick()
?mgQuick

## For landscape genetic analysis with MEMGENE see mgLandscape()
?mgLandscape

memgene documentation built on March 18, 2022, 7:55 p.m.