I will be giving a talk for the New York Open Statistical Programming Meetup group on March 10th on some work I have been doing around cluster analysis. Come to NYU or watch online.
https://click.mlsend.com/link/c/YT0yOTUxODI5NDEwOTIxMDYwOTMxJmM9czRoNCZlPTAmYj0xNTIxMzA5MjYyJmQ9bzFkNmk4cA==.OAZm1iCH4O4ksJlyU81WXdTSFAS_kJmcRXK4pICBt1UHas anyone in the
#rstats community tried writing a function/package to create common cartridge files to import into learning management systems? Ideally what I am looking for is something that would convert (R)markdown files to something I can import to my LMS (Canvas and Brightspace).
Looking for help from the
#rstats and
#bayesian hive mind. I am trying to explain the difference between confidence intervals and credible intervals. Given a sample, how do I estimate the posterior? I am hoping to avoid using any package so I can see the "raw" R code.
It is with great sadness that we learned of the death John Fox this week. He was the author of numerous books on applied statistics and accompanying #RStats packages including car, effects, Rcmdr, ivreg, and matlib. John was a member of the R Foundation until 2023.
FosstodonI've been taking a deep dive into the central limit theorem and in particular the notion of infinite versus finite populations. This may be what tips me over to being a full time Bayesian. While some toy examples I use for teaching (coin tosses, dice, etc) I can conceive of infinite populations, in practice we almost never have infinite populations.

Why you should not use mean imputation for missing data β Jason Bryer
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Jason Bryer