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) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>, Kim et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm>, 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 
[aut, ctb],
Piotr Chlebicki [ctb] |
| Maintainer: | Łukasz Chrostowski <lukchr at st.amu.edu.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 |
| Materials: | README NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | nonprobsvy results |
Documentation:
| Reference manual: | nonprobsvy.pdf |
Downloads:
| Package source: | nonprobsvy_0.1.0.tar.gz |
| Windows binaries: | r-devel: nonprobsvy_0.1.0.zip, r-release: nonprobsvy_0.1.0.zip, r-oldrel: nonprobsvy_0.1.0.zip |
| 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 |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=nonprobsvy to link to this page.