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) . 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 RoxygenNote: 7.3.3 Config/pak/sysreqs: libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev libssl-dev libproj-dev libsqlite3-dev libudunits2-dev Repository: https://guenardg.r-universe.dev Date/Publication: 2026-03-06 19:03:47 UTC RemoteUrl: https://github.com/guenardg/pmem RemoteRef: HEAD RemoteSha: 4c8baa5f15df5e7823142a8382adc35dfeeb86ec Packaged: 2026-10-05 09:32:35 UTC; root Author: Guillaume Guénard [aut, cre] (ORCID: ), Pierre Legendre [ctb] (ORCID: ) Maintainer: Guillaume Guénard