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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "rsamplr" in publications use:'
type: software
license: AGPL-3.0-only
title: 'rsamplr: Sampling Algorithms and Spatially Balanced Sampling'
version: 0.2.0
doi: 10.32614/CRAN.package.rsamplr
identifiers:
- type: url
  value: https://github.com/envisim/rust-samplr/
abstract: 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, <https://doi.org/10.1093/biomet/54.3-4.499>)
  and correlated Poisson sampling (Bondesson and Thorburn, 2008, <https://doi.org/10.1111/j.1467-9469.2008.00596.x>),
  pivotal sampling (Deville and Tillé, 1998, <https://doi.org/10.1093/biomet/91.4.893>),
  and balanced sampling such as the cube method (Deville and Tillé, 2004, <https://doi.org/10.1093/biomet/91.4.893>)
  to ensure auxiliary totals are respected. Spatially balanced approaches, including
  the local pivotal method (Grafström et al., 2012, <https://doi.org/10.1111/j.1541-0420.2011.01699.x>),
  spatially correlated Poisson sampling (Grafström, 2012, <https://doi.org/10.1016/j.jspi.2011.07.003>),
  and locally correlated Poisson sampling (Prentius, 2024, <https://doi.org/10.1002/env.2832>),
  provide efficient designs when the target variable is linked to auxiliary information.
authors:
- family-names: Prentius
  given-names: Wilmer
  email: wilmer.prentius@slu.se
  orcid: https://orcid.org/0000-0002-3561-290X
- name: Authors of the dependent Rust crates
repository: https://wpmg.r-universe.dev
repository-code: https://github.com/envisim/rust-samplr
commit: 774df4b8b3deab14599f5b7cdaffab94e3cb5682
url: https://www.envisim.se/
date-released: '2026-03-31'
contact:
- family-names: Prentius
  given-names: Wilmer
  email: wilmer.prentius@slu.se
  orcid: https://orcid.org/0000-0002-3561-290X