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

Memgene can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Memgene has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.

Install the latest version of this package by entering the following in R:
install.packages("memgene")
AuthorPedro Peres-Neto, Paul Galpern
Date of publication2014-06-06 02:10:07
MaintainerPaul Galpern <pgalpern@ucalgary.ca>
LicenseGPL (>= 2)
Version1.0

View on CRAN

Files

inst
inst/extdata
inst/extdata/river.csv
inst/extdata/river.asc
inst/extdata/fragmented.csv
inst/extdata/panmixia.csv
inst/extdata/memgeneTutorial.Rdata
inst/extdata/caribou.csv
inst/extdata/radial.asc
inst/extdata/fragmented.asc
inst/extdata/radial.csv
inst/extdata/uniform.csv
inst/doc
inst/doc/memgeneTutorial.Rnw
inst/doc/memgeneTutorial.pdf
inst/doc/memgeneTutorial.R
NAMESPACE
R
R/print.mgLandscape.R R/mgRDA.R R/mgMEM.R R/mgLandscape.R R/mgMap.R R/mgVarPart.R R/mgQuick.R R/codomToPropShared.R R/mgForward.R
vignettes
vignettes/memgeneTutorial.Rnw
MD5
build
build/vignette.rds
DESCRIPTION
man
man/mgRDA.Rd man/mgLandscape.Rd man/mgVarPart.Rd man/memgene-package.Rd man/mgQuick.Rd man/mgForward.Rd man/mgMap.Rd man/mgMEM.Rd man/codomToPropShared.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.