nonprobsvy: Inference Based on Non-Probability Samples

Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. Details can be found in: Wu et al. (2020) <doi:10.1080/01621459.2019.1677241>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Wu et al. (2023) <>, Kim et al. (2021) <>, Kim et al. (2020) <doi:10.1111/rssb.12354>.

Version: 0.1.0
Depends: R (≥ 4.0.0), survey
Imports: maxLik, stats, Matrix, MASS, ncvreg, mathjaxr, RANN, Rcpp (≥ 1.0.12), nleqslv, doParallel, foreach, parallel
LinkingTo: Rcpp, RcppArmadillo
Suggests: tinytest, covr, sampling, spelling
Published: 2024-04-04
DOI: 10.32614/CRAN.package.nonprobsvy
Author: Łukasz Chrostowski [aut, cre], Maciej Beręsewicz ORCID iD [aut, ctb], Piotr Chlebicki [ctb]
Maintainer: Łukasz Chrostowski <lukchr at>
License: MIT + file LICENSE
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: nonprobsvy results


Reference manual: nonprobsvy.pdf


Package source: nonprobsvy_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nonprobsvy_0.1.0.tgz, r-oldrel (arm64): nonprobsvy_0.1.0.tgz, r-release (x86_64): nonprobsvy_0.1.0.tgz, r-oldrel (x86_64): nonprobsvy_0.1.0.tgz


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