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

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

Version: 1.0.2
Imports: ade4, gdistance, raster, sp, vegan
Suggests: adegenet, geosphere, knitr
Published: 2022-02-21
DOI: 10.32614/CRAN.package.memgene
Author: Pedro Peres-Neto, Paul Galpern
Maintainer: Paul Galpern <pgalpern at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: memgene results


Reference manual: memgene.pdf
Vignettes: MEMGENE tutorial


Package source: memgene_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): memgene_1.0.2.tgz, r-oldrel (arm64): memgene_1.0.2.tgz, r-release (x86_64): memgene_1.0.2.tgz, r-oldrel (x86_64): memgene_1.0.2.tgz
Old sources: memgene archive


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