Package: eFCM
Type: Package
Title: Exponential Factor Copula Model
Version: 1.0
Authors@R: 
    c(
      person("Mengran", "Li", email = "m.li.3@research.gla.ac.uk", role = c("aut", "cre")),
      person("Daniela", "Castro-Camilo", role = "aut")
    )
Maintainer: Mengran Li <m.li.3@research.gla.ac.uk>
Description: Implements the exponential Factor Copula Model (eFCM) of Castro-Camilo, D. and Huser, R. (2020) for spatial extremes, with tools for dependence estimation, tail inference, and visualization. The package supports likelihood-based inference, Gaussian process modeling via Matérn covariance functions, and bootstrap uncertainty quantification. See Castro-Camilo and Huser (2020) <doi:10.1080/01621459.2019.1647842>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 3.5.0)
Imports: Rcpp, nsRFA, ismev, fields, mnormt, numDeriv, pbmcapply, boot,
        progress
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
LazyData: false
Packaged: 2025-09-03 11:44:32 UTC; 2592713L
Author: Mengran Li [aut, cre],
  Daniela Castro-Camilo [aut]
Repository: CRAN
Date/Publication: 2025-09-09 13:00:06 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-06 04:07:02 UTC; unix
Archs: eFCM.so.dSYM
