https://wpmg.r-universe.devRecent package updates in wpmgR-universehttps://github.com/wpmg.pnghttps://wpmg.r-universe.devTue, 31 Mar 2026 07:47:49 GMTwilmer.prentius@slu.se (Wilmer Prentius)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, <doi:10.1093/biomet/54.3-4.499>) and correlated Poisson sampling (Bondesson and Thorburn, 2008, <doi:10.1111/j.1467-9469.2008.00596.x>), pivotal sampling (Deville and Tillé, 1998, <doi:10.1093/biomet/91.4.893>), and balanced sampling such as the cube method (Deville and Tillé, 2004, <doi:10.1093/biomet/91.4.893>) to ensure auxiliary totals are respected. Spatially balanced approaches, including the local pivotal method (Grafström et al., 2012, <doi:10.1111/j.1541-0420.2011.01699.x>), spatially correlated Poisson sampling (Grafström, 2012, <doi:10.1016/j.jspi.2011.07.003>), and locally correlated Poisson sampling (Prentius, 2024, <doi:10.1002/env.2832>), provide efficient designs when the target variable is linked to auxiliary information.https://github.com/r-universe/wpmg/actions/runs/26739568738Tue, 31 Mar 2026 07:47:49 GMTrsamplr0.2.0successhttps://wpmg.r-universe.devhttps://github.com/cran/rsamplrwilmer.prentius@slu.se (Wilmer Prentius)Estimators and variance estimators tailored to the NILS hierarchical design (Adler et al. 2020, <https://res.slu.se/id/publ/105630>; Grafström et al. 2023, <https://res.slu.se/id/publ/128235>). The National Inventories of Landscapes in Sweden (NILS) is a long-term national monitoring program that collects, analyses and presents data on Swedish nature, covering both common and rare habitats <https://www.slu.se/om-slu/organisation/institutioner/skoglig-resurshushallning/miljoanalys/nils/>.https://github.com/r-universe/envisim/actions/runs/26941191929Mon, 06 Oct 2025 14:25:35 GMTnilsier0.1.1successhttps://envisim.r-universe.devhttps://github.com/envisim/nilsier