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 developers, can anyone tell me if there is a tool (preferably an R package) that can count the number of functions used and their connections within my own package? @vincentab.bsky.social @zeileis.org

#rstats developers, do you know of a package that allows me to see how many times a given R/Rcpp function created by my package is used within my package (R/ and src/)? Is there a tool that allows me to visualise the relationship between funs? yes, I have my own funs that do it but I need a tool :)

Another bad day in the U.S. for any technical documents that talk about the "bias" in estimators...🙄

#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...

#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...

Today’s issue of The Survey Statistician includes an overview of two #rstats 📦’s (srvyr & svrep) for survey data analysis, facilitating Tidyverse workflows and flexible resampling methods such as the generalized bootstrap, building on ‘survey’ as a foundation #statsky

isi-iass.org/home/wp-cont...

@bradytwest.bsky.social We've finally finished a draft paper on the nonprobsvy package: github.com/ncn-foreigne.... Just bear in mind that the abstract and the section on classes
are incomplete. We're also doing a big update to the pkg, so expect breaking changes. We are open feedback :)

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 #AcademicSky are you dealing with linking data without identifiers (aka probabilistic RL, entity resolution)? Check our blocking packages in #rstats (ncn-foreigners.github.io/blocking) and #python (blockingpy.readthedocs.io) that use ANN to sig. reduce number of comparisons and time!

Dear all, I'm looking for good examples of how non-probability and probability surveys (or population data) have been used together (and data is available). Does anyone have any ideas? This is for testing our {nonprobsvy} package (ncn-foreigners.github.io/nonprobsvy) #rstats #EconSky #AcademicSky

Dear all, I'm looking for good examples of how non-probability and probability surveys (or population data) have been used together (and data is available). Does anyone have any ideas? This is for testing our {nonprobsvy} package (ncn-foreigners.github.io/nonprobsvy) #rstats #EconSky #AcademicSky

Interesting package (and paper) for record linkage problems!

#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!