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memgene

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

v1.0.3 · Jul 22, 2025 · GPL (>= 2)

Description

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.

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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
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OK r-devel-linux-x86_64-debian-clang

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies ade4 gdistance raster sp vegan memgene

Version History

new 1.0.3 Mar 10, 2026