Package: pMEM
Type: Package
Title: Predictive Moran's Eigenvector Maps
Version: 0.1-1
Date: 2024-09-26
Encoding: UTF-8
Authors@R: c(
    person(
      given = "Guillaume",
      family = "Guénard",
      role = c("aut","cre"),
      email = "guillaume.guenard@umontreal.ca",
      comment = c(ORCID = "0000-0003-0761-3072")),
    person(
      given = "Pierre",
      family = "Legendre",
      role = "ctb",
      email = "pierre.legendre@umontreal.ca",
      comment = c(ORCID = "0000-0002-3838-3305")
    )
  )
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.
Depends: R (>= 3.5.0), sf
Suggests: knitr, xfun, magrittr, glmnet
Imports: Rcpp (>= 1.0.11)
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
LinkingTo: Rcpp
VignetteBuilder: knitr
Repository: CRAN
RoxygenNote: 7.3.1
Packaged: 2024-09-26 21:02:57 UTC; guenardg
Author: Guillaume Guénard [aut, cre] (<https://orcid.org/0000-0003-0761-3072>),
  Pierre Legendre [ctb] (<https://orcid.org/0000-0002-3838-3305>)
Maintainer: Guillaume Guénard <guillaume.guenard@umontreal.ca>
Date/Publication: 2024-09-30 10:20:04 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-10-08 03:08:27 UTC; windows
Archs: x64
