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
NeedsCompilation: yes
Packaged: 2022-08-24 08:43:36 UTC; francescopantalone
Author: Francesco Pantalone [aut, cre],
  Roberto Benedetti [aut],
  Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-24 09:32:41 UTC
Built: R 4.5.0; x86_64-apple-darwin20; 2025-04-02 00:19:39 UTC; unix
Archs: Spbsampling.so.dSYM
