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memgene (version 1.0.2)

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

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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Version

Install

install.packages('memgene')

Monthly Downloads

178

Version

1.0.2

License

GPL (>= 2)

Maintainer

Paul Galpern

Last Published

February 21st, 2022

Functions in memgene (1.0.2)

mgMEM

Extraction of MEM eigenvectors given distances among sampling locations
mgVarPart

Variation partitioning of the genetic distance matrix
mgMap

Visualization of MEMGENE variables
mgRDA

Extraction of MEMGENE variables using redundancy analysis (RDA)
mgQuick

Memgene analysis of genetic distance data (main interface for package)
codomToPropShared

Find proportion of shared alleles genetic distances from a codominant alleles matrix
mgForward

Forward selection of MEM eigenvectors against genetic distance data
mgLandscape

Landscape genetic analysis using MEMGENE
memgene-package

Spatial pattern detection in genetic distance data using Moran's Eigenvector Maps