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

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.

Version: 1.0
Imports: ade4, raster, gdistance, vegan
Suggests: adegenet, geosphere, knitr
Published: 2014-06-06
Author: Pedro Peres-Neto, Paul Galpern
Maintainer: Paul Galpern <pgalpern at ucalgary.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: memgene results

Downloads:

Reference manual: memgene.pdf
Vignettes: MEMGENE tutorial
Package source: memgene_1.0.tar.gz
Windows binaries: r-devel: memgene_1.0.zip, r-release: memgene_1.0.zip, r-oldrel: memgene_1.0.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: memgene_1.0.tgz
OS X Mavericks binaries: r-release: memgene_1.0.tgz
Old sources: memgene archive