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.

2.15 score 1 stars 14 scripts 175 downloads 9 exports 25 dependencies

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

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:codomToPropSharedmgForwardmgLandscapemgMapmgMEMmgQuickmgRDAmgVarPartprint.mgLandscape

Dependencies:ade4cliclustercpp11gdistanceglueigraphlatticelifecyclemagrittrMASSMatrixmgcvnlmepermutepixmappkgconfigrasterRcppRcppArmadillorlangspterravctrsvegan

MEMGENE tutorial

Rendered frommemgeneTutorial.Rnwusingknitr::knitron Oct 29 2024.

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