Package: rsamplr Title: Sampling Algorithms and Spatially Balanced Sampling Version: 0.2.0 Authors@R: c( person("Wilmer", "Prentius", , "wilmer.prentius@slu.se", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3561-290X")), person("Anton", "Grafström", role = "ctb", comment = c(ORCID = "0000-0002-4345-4024")), person("Authors of the dependent Rust crates", role = "aut", comment = "see inst/AUTHORS file") ) Description: Fast tools for unequal probability sampling in multi-dimensional spaces, implemented in Rust for high performance. The package offers a wide range of methods, including Sampford (Sampford, 1967, ) and correlated Poisson sampling (Bondesson and Thorburn, 2008, ), pivotal sampling (Deville and Tillé, 1998, ), and balanced sampling such as the cube method (Deville and Tillé, 2004, ) to ensure auxiliary totals are respected. Spatially balanced approaches, including the local pivotal method (Grafström et al., 2012, ), spatially correlated Poisson sampling (Grafström, 2012, ), and locally correlated Poisson sampling (Prentius, 2024, ), provide efficient designs when the target variable is linked to auxiliary information. URL: https://www.envisim.se/, https://github.com/envisim/rust-samplr/ BugReports: https://github.com/envisim/rust-samplr/issues License: AGPL-3 Encoding: UTF-8 Language: en-GB Depends: R (>= 4.5) RoxygenNote: 7.3.3 SystemRequirements: Cargo (Rust's package manager), rustc >= 1.84.1 NeedsCompilation: yes Packaged: 2026-10-18 06:39:07 UTC; root Author: Wilmer Prentius [aut, cre] (ORCID: ), Anton Grafström [ctb] (ORCID: ), Authors of the dependent Rust crates [aut] (see inst/AUTHORS file) Maintainer: Wilmer Prentius Config/pak/sysreqs: libclang-dev Repository: https://wpmg.r-universe.dev Date/Publication: 2026-03-31 07:47:49 UTC RemoteUrl: https://github.com/cran/rsamplr RemoteRef: HEAD RemoteSha: 774df4b8b3deab14599f5b7cdaffab94e3cb5682