Package: memgene 1.0.2

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.

Authors:Pedro Peres-Neto, Paul Galpern

memgene_1.0.2.tar.gz
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memgene.pdf |memgene.html✨
memgene/json (API)

# Install 'memgene' in R:
install.packages('memgene', repos = c('https://ecologics.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 1 stars 15 scripts 184 downloads 9 exports 25 dependencies

Last updated 3 years agofrom:6672a2f264. Checks:3 OK, 1 ERROR, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winNOTEMar 28 2025
R-4.5-macNOTEMar 28 2025
R-4.5-linuxERRORMar 28 2025
R-4.4-winNOTEMar 28 2025
R-4.4-macNOTEMar 28 2025
R-4.4-linuxNOTEMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:codomToPropSharedmgForwardmgLandscapemgMapmgMEMmgQuickmgRDAmgVarPartprint.mgLandscape

Dependencies:ade4cliclustercpp11gdistanceglueigraphlatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepixmappkgconfigrasterRcppRcppArmadillorlangspterravctrsvegan

MEMGENE tutorial

Rendered frommemgeneTutorial.Rnwusingknitr::knitron Mar 28 2025.

Last update: 2022-02-21
Started: 2014-03-11