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

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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-Forge:

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

2.48 score 1 stars 15 scripts 239 downloads 2 mentions 9 exports 25 dependencies

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

TargetResultLatest binary
Doc / VignettesOKFeb 26 2025
R-4.5-winNOTEFeb 26 2025
R-4.5-macNOTEFeb 26 2025
R-4.5-linuxNOTEFeb 26 2025
R-4.4-winNOTEFeb 26 2025
R-4.4-macNOTEFeb 26 2025
R-4.3-winOKFeb 26 2025
R-4.3-macOKFeb 26 2025

Exports:codomToPropSharedmgForwardmgLandscapemgMapmgMEMmgQuickmgRDAmgVarPartprint.mgLandscape

Dependencies:ade4cliclustercpp11gdistanceglueigraphlatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepixmappkgconfigrasterRcppRcppArmadillorlangspterravctrsvegan

MEMGENE tutorial

Rendered frommemgeneTutorial.Rnwusingknitr::knitron Feb 26 2025.

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