Package: Spbsampling
Title: Spatially Balanced Sampling
Version: 1.3.5
Authors@R: c(
    person("Francesco", "Pantalone", email = "pantalone.fra@gmail.com", role = c("aut","cre")),
    person("Roberto", "Benedetti", role = "aut"),
    person("Federica", "Piersimoni", role = "aut")
    )
Description: Selection of spatially balanced samples. In particular,
        the implemented sampling designs allow to select probability
        samples well spread over the population of interest, in any
        dimension and using any distance function (e.g. Euclidean
        distance, Manhattan distance). For more details, Pantalone F,
        Benedetti R, and Piersimoni F (2022)
        <doi:10.18637/jss.v103.c02>, Benedetti R and Piersimoni F
        (2017) <doi:10.1002/bimj.201600194>, and Benedetti R and
        Piersimoni F (2017) <arXiv:1710.09116>. The implementation has
        been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.
Depends: R (>= 3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
RoxygenNote: 7.2.0
Repository: https://francescopantalone.r-universe.dev
Date/Publication: 2022-09-15 20:38:44 UTC
RemoteUrl: https://github.com/francescopantalone/spbsampling
RemoteRef: HEAD
RemoteSha: 8e236a298f025c15fc385afbc9ae210dd9259754
NeedsCompilation: yes
Packaged: 2026-06-20 09:44:01 UTC; root
Author: Francesco Pantalone [aut, cre],
  Roberto Benedetti [aut],
  Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>