Tutorials / showcases

Packages tutorials / showcases

• singleRcapture

  • singleRcapture introduction -- tutorial 1

• nonprobsvy

  • nonprobsvy package -- basic use cases

• blocking

• BlockingPy

Replication studies

Non-probability samples with the nonprobsvy package

• Replication report -- Yang, S., Kim, J. K., & Song, R. (2020). Doubly robust inference when combining probability and non-probability samples with high dimensional data. Journal of the Royal Statistical Society. Series B, Statistical Methodology, 82(2), 445.
• Replication report -- Kim, J. K., Park, S., Chen, Y., & Wu, C. (2021). Combining non-probability and probability survey samples through mass imputation. Journal of the Royal Statistical Society Series A: Statistics in Society, 184(3), 941-963.
• Replication report -- Yang, S., Kim, J. K., & Hwang, Y. (2021). Integration of data from probability surveys and big found data for finite population inference using mass imputation. Survey Methodology, 47(1).
• Replication report -- Chen, S., Yang, S., & Kim, J. K. (2022). Nonparametric mass imputation for data integration. Journal of survey statistics and methodology, 10(1), 1-24.
• Replication report -- Chen, Y., Li, P., & Wu, C. (2020). Doubly robust inference with nonprobability survey samples. Journal of the American Statistical Association, 115(532), 2011-2021.

Population size estimation with the singleRcapture package

• TBA

Record linkage with the blocking package

• Febrl - Freely extensible biomedical record linkage

Package version

> packageVersion("nonprobsvy")
[1] ‘0.1.1.9001’