Package: aclhs
Title: Autocorrelated Conditioned Latin Hypercube Sampling
Version: 1.0.1
Authors@R: c(
    person("Van Huong", "Le", , "vanle@udel.edu", role = c("aut", "ctb"),
           comment = c(ORCID = "0000-0002-3700-9987")),
    person("Rodrigo", "Vargas", , "rvargasr@asu.edu", role = "aut",
           comment = c(ORCID = "0000-0001-6829-5333")),
    person("Gabriel", "Laboy", , "glaboy1@asu.edu", role = c("ctb", "cre"),
           comment = c(ORCID = "0009-0004-1538-5035"))
  )
Description: Implementation of the autocorrelated conditioned Latin
    Hypercube Sampling (acLHS) algorithm for 1D (time-series) and 2D (spatial)
    data. The acLHS algorithm is an extension of the conditioned Latin Hypercube 
    Sampling (cLHS) algorithm that allows sampled data to have similar 
    correlative and statistical features of the original data. Only a properly 
    formatted dataframe needs to be provided to yield subsample indices from 
    the primary function. For more details about the cLHS algorithm, see Minasny
    and McBratney (2006), <doi:10.1016/j.cageo.2005.12.009>. For acLHS, see Le 
    and Vargas (2024) <doi:10.1016/j.cageo.2024.105539>.
License: MIT + file LICENSE
URL: https://github.com/vargaslab/acLHS
BugReports: https://github.com/vargaslab/acLHS/issues
Depends: R (>= 3.5)
Imports: DEoptim (>= 2.2.8), geoR (>= 1.9.6), graphics (>= 4.5.1),
        stats (>= 4.5.1), utils (>= 4.5.1)
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2025-11-01 01:20:15 UTC; Gabe
Author: Van Huong Le [aut, ctb] (ORCID:
    <https://orcid.org/0000-0002-3700-9987>),
  Rodrigo Vargas [aut] (ORCID: <https://orcid.org/0000-0001-6829-5333>),
  Gabriel Laboy [ctb, cre] (ORCID:
    <https://orcid.org/0009-0004-1538-5035>)
Maintainer: Gabriel Laboy <glaboy1@asu.edu>
Repository: CRAN
Date/Publication: 2025-11-05 20:10:02 UTC
Built: R 4.6.0; ; 2026-04-27 13:48:52 UTC; unix
