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'))

Peer review:

On CRAN:

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

9 exports 1 stars 0.82 score 25 dependencies 2 mentions 14 scripts 295 downloads

Last updated 3 years agofrom:6672a2f264. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winNOTEAug 30 2024
R-4.5-linuxNOTEAug 30 2024
R-4.4-winNOTEAug 30 2024
R-4.4-macNOTEAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:codomToPropSharedmgForwardmgLandscapemgMapmgMEMmgQuickmgRDAmgVarPartprint.mgLandscape

Dependencies:ade4cliclustercpp11gdistanceglueigraphlatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepixmappkgconfigrasterRcppRcppArmadillorlangspterravctrsvegan

MEMGENE tutorial

Rendered frommemgeneTutorial.Rnwusingknitr::knitron Aug 30 2024.

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