rsamplr: Sampling Algorithms and Spatially Balanced Sampling

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.

Version:	0.1.1
Depends:	R (≥ 4.2)
Published:	2025-09-11
DOI:	10.32614/CRAN.package.rsamplr
Author:	Wilmer Prentius [aut, cre], Anton Grafström [ctb], Authors of the dependent Rust crates [aut] (see inst/AUTHORS file)
Maintainer:	Wilmer Prentius <wilmer.prentius at slu.se>
BugReports:	https://github.com/envisim/rust-samplr/issues
License:	AGPL-3
URL:	https://www.envisim.se/, https://github.com/envisim/rust-samplr/
NeedsCompilation:	yes
SystemRequirements:	Cargo (Rust's package manager), rustc >= 1.75.0
Language:	en-GB
CRAN checks:	rsamplr results

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