Package: clhs
Type: Package
Title: Conditioned Latin Hypercube Sampling
Version: 0.9.0
Date: 2021-10-14
Authors@R: c(
    person("Pierre", "Roudier", email = "roudierp@landcareresearch.co.nz", role = c("aut", "cre")),
    person("Colby", "Brugnard", email = "cbrung@ad.nmsu.edu", role = "ctb"),
    person("Dylan", "Beaudette", email = "dylan.beaudette@ca.usda.gov", role = "ctb"),
    person("Benjamin", "Louis", email = "contact@benjaminlouis-stat.fr", role = "ctb"),
    person("Kiri", "Daust", email = "Kiri.Daust@gov.bc.ca", role = "ctb"),
    person("David", "Clifford", email = "david.clifford@gmail.com", role = "ctb"))
Maintainer: Pierre Roudier <roudierp@landcareresearch.co.nz>
URL: https://github.com/pierreroudier/clhs/
BugReports: https://github.com/pierreroudier/clhs/issues
Description: Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <DOI:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <DOI:10.1201/b12728>).
Depends: R (>= 2.14.0)
Imports: utils, methods, grid, ggplot2, sp, sf, raster, reshape2, plyr,
        cluster, Rcpp
LinkingTo: RcppArmadillo, Rcpp
License: GPL (>= 2)
Encoding: UTF-8
LazyLoad: yes
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.2
Collate: 'RcppExports.R' 'clhs-internal.R' 'clhs-data.frame.R'
        'clhs-package.R' 'clhs-raster.R' 'utils.R' 'clhs.R' 'clhs-sf.R'
        'clhs-sp.R' 'plot.R' 'similarity.R'
NeedsCompilation: yes
Packaged: 2021-10-14 01:51:12 UTC; roudierp
Author: Pierre Roudier [aut, cre],
  Colby Brugnard [ctb],
  Dylan Beaudette [ctb],
  Benjamin Louis [ctb],
  Kiri Daust [ctb],
  David Clifford [ctb]
Repository: CRAN
Date/Publication: 2021-10-14 04:30:10 UTC
Built: R 4.5.1; x86_64-w64-mingw32; 2025-10-06 02:35:24 UTC; windows
Archs: x64
