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pMEM  

Predictive Moran's Eigenvector Maps
View on CRAN: Click here


Download and install pMEM package within the R console
Install from CRAN:
install.packages("pMEM")

Install from Github:
library("remotes")
install_github("cran/pMEM")

Install by package version:
library("remotes")
install_version("pMEM", "0.1-1")



Attach the package and use:
library("pMEM")
Maintained by
Guillaume Guénard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-30
Latest Update: 2024-09-30
Description:
Calculation of Predictive Moran's eigenvector maps (pMEM), as defined by Guénard and Legendre (In Press) "Spatially-explicit predictions using spatial eigenvector maps" <doi:10.5281/zenodo.13356457>. Methods in Ecology and Evolution. This method enables scientists to predict the values of spatially-structured environmental variables. Multiple types of pMEM are defined, each one implemented on the basis of spatial weighting function taking a range parameter, and sometimes also a shape parameter. The code's modular nature enables programers to implement new pMEM by defining new spatial weighting functions.
How to cite:
Guillaume Guénard (2024). pMEM: Predictive Moran's Eigenvector Maps. R package version 0.1-1, https://cran.r-project.org/web/packages/pMEM. Accessed 21 Nov. 2024.
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