Package: BalancedSampling Type: Package Title: Balanced and Spatially Balanced Sampling Version: 2.1.1 Date: 2024-11-15 Authors@R: c( person("Anton", "Grafström", email = "anton.grafstrom@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4345-4024")), person("Wilmer", "Prentius", email = "wilmer.prentius@slu.se", role = c("aut"), comment = c(ORCID = "0000-0002-3561-290X")), person("Jonathan", "Lisic", role = c("ctb")) ) Author: Anton Grafström [aut, cre] (ORCID: ), Wilmer Prentius [aut] (ORCID: ), Jonathan Lisic [ctb] Maintainer: Anton Grafström Description: Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) and spatially correlated Poisson sampling by Grafström (2012) are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) . License: AGPL-3 Imports: Rcpp (>= 1.0.13) LinkingTo: Rcpp, RcppArmadillo Encoding: UTF-8 URL: https://www.envisim.se/, https://github.com/envisim/BalancedSampling/ NeedsCompilation: yes RoxygenNote: 7.3.2 Roxygen: list(markdown = TRUE) Repository: https://envisim.r-universe.dev Date/Publication: 2024-11-15 16:08:36 UTC RemoteUrl: https://github.com/envisim/balancedsampling RemoteRef: HEAD RemoteSha: 396e86b399c8d3b74f7e807b855fa887702ee51f Packaged: 2026-10-11 15:48:45 UTC; root