DESCRIPTION

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'