Spatial Pattern Detection in Genetic Distance Data Using Moran's Eigenvector Maps [R package memgene version 1.0.3]

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: 1.0.3

Imports: ade4, gdistance, raster, sp, vegan

Suggests: adegenet, geosphere, knitr

Published: 2025年07月22日

DOI: 10.32614/CRAN.package.memgene

Author: Pedro Peres-Neto [aut], Paul Galpern [aut, cre]

Maintainer: Paul Galpern <pgalpern at ucalgary.ca>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: no

CRAN checks: memgene results

Documentation:

Reference manual: memgene.html , memgene.pdf

Vignettes: MEMGENE tutorial (source, R code)

Downloads:

Package source: memgene_1.0.3.tar.gz

Windows binaries: r-devel: memgene_1.0.3.zip, r-release: memgene_1.0.3.zip, r-oldrel: memgene_1.0.3.zip

macOS binaries: r-release (arm64): memgene_1.0.3.tgz, r-oldrel (arm64): memgene_1.0.3.tgz, r-release (x86_64): memgene_1.0.3.tgz, r-oldrel (x86_64): memgene_1.0.3.tgz

Old sources: memgene archive

Linking:

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