Package: pMEM
Type: Package
Title: Predictive Moran's Eigenvector Maps
Version: 1.0-1
Date: 2026-03-06
Encoding: UTF-8
Authors@R: c(
    person(
      given = "Guillaume",
      family = "Guénard",
      role = c("aut","cre"),
      email = "guillaume.guenard@gmail.com",
      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: Calculate Predictive Moran's Eigenvector Maps (pMEM) for
  spatially-explicit prediction of environmental variables, as defined by
  Guénard and Legendre (2024) <doi:10.1111/2041-210X.14413>. pMEM extends
  classical MEM by enabling interpolation and prediction at unsampled locations
  using spatial weighting functions parameterized by range (and optionally
  shape). The package implements multiple pMEM types (e.g., exponential,
  Gaussian, linear) and features a modular architecture that allows programmers
  to define custom weighting functions. Designed for ecologists, geographers,
  and spatial analysts working with spatially-structured data.
Depends: R (>= 4.1.0), sf
Suggests: glmnet, knitr, magrittr, rmarkdown, xfun
Imports: Rcpp (>= 1.0.11)
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
LinkingTo: Rcpp
VignetteBuilder: knitr
Repository: CRAN
RoxygenNote: 7.3.3
Packaged: 2026-03-06 19:01:26 UTC; guenardg
Author: Guillaume Guénard [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-0761-3072>),
  Pierre Legendre [ctb] (ORCID: <https://orcid.org/0000-0002-3838-3305>)
Maintainer: Guillaume Guénard <guillaume.guenard@gmail.com>
Date/Publication: 2026-03-08 23:00:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 09:29:34 UTC; unix
Archs: pMEM.so.dSYM
