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>. For details on the package and its functionalities see <doi:10.48550/arXiv.2504.04255>.
Version: 0.2.2 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, spelling Published: 2025-05-24 DOI: 10.32614/CRAN.package.nonprobsvy Author: Åukasz Chrostowski [aut, ctb], Maciej BerÄsewicz [aut, cre], Piotr Chlebicki [aut, ctb] Maintainer: Maciej BerÄsewicz <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.ue.poznan.pl/nonprobsvy/ NeedsCompilation: yes Language: en-US Citation: nonprobsvy citation info Materials: README NEWS In views: OfficialStatistics CRAN checks: nonprobsvy results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=nonprobsvy to link to this page.
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