Ok, I’ve checked the docs. Do you use these commands to impute values i.e. for mass imputation estimator? If for the IPW we do not support more then two sources (nonprobability and probability samples).

Any comments are more than welcome! :)

Unfortunately, don’t know stata so much so I need to check out the documentation and I’ll go back to you

That’s next on our list. We're working on it, and we hope to finish the final version at the end of May or beginning of June.

Looking forward to your comments! @bradytwest.bsky.social @vincentab.bsky.social @rmkubinec.bsky.social @statstas.datascience.blue @saskiabrthlms.bsky.social @bschneidr.bsky.social @ivelasq3.bsky.social

As well as polishing the code, we also worked on the documentation. The package is based on the {survey} package (@tslumley.bsky.social), but you can also use the {srvyr} package (@bschneidr.bsky.social).

If you are interested in non-probability sampling, this is for you! #EconSky #StatsSky

Thank you! I will check it out.

I’m familiar with {targets} but this is mainly for data analysis pipeline than my problem…but I will check it out and read the manuals/tutorials.

You are not far away from the truth as this the reason why I need such tool :)

Ok, it seems that the second package does what I was looking for! In general, I am interested in connections between functions I, or my colleagues, wrote i.e. say fun1 is used in fun2 and fun3 and fun2 in fun4. The goal is to understand how the functions effect each other and to manage changes.

I agree with Stephen and Thomas. The sampling will be the same but you need to account for the correlation at the inference stage otherwise your standard errors may be to optimistic.

The package is suited for those of you who study hard-to-reach human or wildlife populations. For more see our paper: arxiv.org/abs/2411.11032

Trump’s administration is stopping money for surveys it doesn't like?

We are open comments and suggestions!