Another #rstats package uploaded to CRAN! If you are linking data without identifiers and thinking about non-standard blocking methods to compare pairs, check out our {blocking} package. See the website and (hopefully) informative vignettes! ncn-foreigners.ue.poznan.pl/blocking/

I've just got my copy of your book, @bradytwest.bsky.social. Thanks for including the {nonprobsvy}!

If you are interested in the theory behind the {nonprobsvy} package, consider reading the working paper that we just uploaded on #arXiv arxiv.org/abs/2504.04255 #rstats

New version of the {nonprobsvy} #rstats package is on its way to CRAN! We have made significant changes to the source code, its functionality and added new methods.

The output changed and was inspired by an excellent {WeightIt} pkg @noahgreifer.bsky.social ncn-foreigners.github.io/nonprobsvy

#rstats If you are interested in estimating population size, you may wish to use our package {singleRcapture} which has just been uploaded to CRAN (0.2.2). The package implements several methods (based on truncated distributions) and provides a user-friendly API. cran.r-project.org/package=sing...

I am delighted to announce that our paper, "Quantile Balancing Inverse Probability Weighting for Non-probability Samples", has been accepted for publication in the Survey Methodology journal! You can find a preprint of the paper here: arxiv.org/abs/2403.09726

#EconSky #StatSky anyone interested in online job vacancies? We’ve developed an ISCO (4d) occupation estimator, based on close to 200k hand-coded job descriptions, for 24 languages! Check our paper (arxiv.org/abs/2411.03779) and repo at GitHub (github.com/OJALAB) where the soft is uploaded.

An excellent #uRos2024 conference on use of #rstats in official statistics ended yesterday. We have presented three our packages: {jointCalib}, {blocking} and {nonprobsvy}. We invite you to check the tools if you work on #recordlinkage, probability and nonprobability #surveys #EconSky #StatsSky

The #uRos2024 conference kicks off today! Łukasz is running a workshop on our {nonprobsvy} #rstats package, and in the coming days, we'll be presenting the {jointCalib} and {blocking} packages. For more see the program of the conference (r-project.ro/conference20...) and our GitHub website!