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. The package implements various methods such as inverse probability (propensity score) weighting, mass imputation and doubly robust approach. Details can be found in: Chen et al. (2020) <doi:10.1080/01621459.2019.1677241>, Yang et al. (2020) <doi:10.1111/rssb.12354>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Yang et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm> and Wu (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>.

Version: 0.2.0
Depends: R (≥ 4.0.0), survey
Imports: maxLik, stats, Matrix, MASS, ncvreg, RANN, Rcpp (≥ 1.0.12), nleqslv, doParallel, foreach, parallel, formula.tools
LinkingTo: Rcpp, RcppArmadillo
Suggests: tinytest, covr, sampling, spelling
Published: 2025-03-27
DOI: 10.32614/CRAN.package.nonprobsvy
Author: Łukasz Chrostowski [aut, ctb], Maciej Beręsewicz ORCID iD [aut, cre], Piotr Chlebicki ORCID iD [aut, ctb]
Maintainer: Maciej Beręsewicz <maciej.beresewicz at ue.poznan.pl>
BugReports: https://github.com/ncn-foreigners/nonprobsvy/issues
License: MIT + file LICENSE
URL: https://github.com/ncn-foreigners/nonprobsvy, https://ncn-foreigners.github.io/nonprobsvy/
NeedsCompilation: yes
Language: en-US
Citation: nonprobsvy citation info
Materials: README NEWS
In views: OfficialStatistics
CRAN checks: nonprobsvy results

Documentation:

Reference manual: nonprobsvy.pdf

Downloads:

Package source: nonprobsvy_0.2.0.tar.gz
Windows binaries: r-devel: nonprobsvy_0.2.0.zip, r-release: nonprobsvy_0.2.0.zip, r-oldrel: nonprobsvy_0.2.0.zip
macOS binaries: r-devel (arm64): nonprobsvy_0.2.0.tgz, r-release (arm64): nonprobsvy_0.2.0.tgz, r-oldrel (arm64): nonprobsvy_0.2.0.tgz, r-devel (x86_64): nonprobsvy_0.2.0.tgz, r-release (x86_64): nonprobsvy_0.2.0.tgz, r-oldrel (x86_64): nonprobsvy_0.2.0.tgz
Old sources: nonprobsvy archive

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