Inference Based on Non-Probability Samples
Complementary log-log model for weights adjustment
Confidence Intervals for Model Parameters
Control parameters for inference
Control parameters for outcome model
Control parameters for selection model
Simulation data
Logit model for weights adjustment
Inference with the non-probability survey samples
Estimate size of population
Probit model for weights adjustment
Summary statistics for model of nonprobsvy class.
Obtain Covariance Matrix estimation.
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>.
Useful links