Package: nonprobsvy 0.1.1
Łukasz Chrostowski
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>.
Authors:
nonprobsvy_0.1.1.tar.gz
nonprobsvy_0.1.1.zip(r-4.5)nonprobsvy_0.1.1.zip(r-4.4)nonprobsvy_0.1.1.zip(r-4.3)
nonprobsvy_0.1.1.tgz(r-4.4-x86_64)nonprobsvy_0.1.1.tgz(r-4.4-arm64)nonprobsvy_0.1.1.tgz(r-4.3-x86_64)nonprobsvy_0.1.1.tgz(r-4.3-arm64)
nonprobsvy_0.1.1.tar.gz(r-4.5-noble)nonprobsvy_0.1.1.tar.gz(r-4.4-noble)
nonprobsvy_0.1.1.tgz(r-4.4-emscripten)nonprobsvy_0.1.1.tgz(r-4.3-emscripten)
nonprobsvy.pdf |nonprobsvy.html✨
nonprobsvy/json (API)
NEWS
| # Install 'nonprobsvy' in R: |
| install.packages('nonprobsvy', repos = c('https://ncn-foreigners.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ncn-foreigners/nonprobsvy/issues
lasso-regressionnonprobability-samplingsurvey
Last updated 8 days agofrom:5778fc8ff5. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win-x86_64 | OK | Nov 13 2024 |
| R-4.5-linux-x86_64 | OK | Nov 13 2024 |
| R-4.4-win-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-x86_64 | OK | Nov 13 2024 |
| R-4.4-mac-aarch64 | OK | Nov 13 2024 |
| R-4.3-win-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-x86_64 | OK | Nov 13 2024 |
| R-4.3-mac-aarch64 | OK | Nov 13 2024 |
Exports:cloglog_model_nonprobsvycontrolInfcontrolOutcontrolSelgenSimDatalogit_model_nonprobsvynonprobpop.sizeprobit_model_nonprobsvy
Dependencies:codetoolsDBIdigestdoParallelforeachgenericsiteratorslatticeMASSmathjaxrMatrixmaxLikminqamiscToolsmitoolsncvregnleqslvnumDerivRANNRcppRcppArmadillosandwichsurveysurvivalzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Complementary log-log model for weights adjustment | cloglog_model_nonprobsvy |
| Confidence Intervals for Model Parameters | confint.nonprobsvy |
| Control parameters for inference | controlInf |
| Control parameters for outcome model | controlOut |
| Control parameters for selection model | controlSel |
| Simulation data | genSimData |
| Logit model for weights adjustment | logit_model_nonprobsvy |
| Inference with the non-probability survey samples | nonprob |
| Estimate size of population | pop.size |
| Probit model for weights adjustment | probit_model_nonprobsvy |
| Summary statistics for model of nonprobsvy class. | summary.nonprobsvy |
| Obtain Covariance Matrix estimation. | vcov.nonprobsvy |
