Package: SamplingStrata
Type: Package
Title: Optimal Stratification of Sampling Frames for Multipurpose
        Sampling Surveys
Version: 1.5-5
Date: 2025-09-30
Author: Giulio Barcaroli [aut, cre],
  Marco Ballin [aut],
  Hanjo Odendaal [aut],
  Daniela Pagliuca [aut],
  Egon Willighagen [aut],
  Diego Zardetto [aut]
Maintainer: Giulio Barcaroli <gbarcaroli@gmail.com>
Authors@R: 
    c(person("Giulio", "Barcaroli", role = c("aut", "cre"), email = "gbarcaroli@gmail.com"),
      person("Marco", "Ballin", role = "aut"),
      person("Hanjo", "Odendaal", role = "aut"),
      person("Daniela", "Pagliuca", role = "aut"),
      person("Egon", "Willighagen", role = "aut"),
      person("Diego", "Zardetto", role = "aut"))
Description: Tools for the optimization of stratified sampling design. It determines a stratification of a sampling frame that minimizes sample cost while satisfying precision constraints in a multivariate and multidomain context. The approach relies on a genetic algorithm; each candidate partition of the frame is an individual whose fitness is evaluated via the Bethel-Chromy allocation to meet target precisions. Functions support analysis of optimization results, labeling of the frame with new strata, and drawing a sample according to the optimal allocation. Algorithmic components adapt code from the 'genalg' package. See M. Ballin and G. Barcaroli (2020) "R package SamplingStrata: new developments and extension to Spatial Sampling" <doi:10.48550/arXiv.2004.09366>.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: memoise, doParallel, pbapply, SamplingBigData, glue, methods
Suggests: knitr, rmarkdown, formattable
VignetteBuilder: knitr
URL: https://barcaroli.github.io/SamplingStrata/,
        https://github.com/barcaroli/SamplingStrata/
BugReports: https://github.com/barcaroli/SamplingStrata/issues
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2025-10-08 09:20:57 UTC; Giulio
Repository: CRAN
Date/Publication: 2025-10-08 10:30:13 UTC
Built: R 4.5.2; ; 2025-11-08 03:15:08 UTC; windows
