Jeremy Allen

@jeremy-data.bsky.social

I help @posit.co deliver the best R and Python data science solutions to the public sector in the US and elsewhere. Fan of cats coffee whiskey tea photography philosophy Atlanta - personal account. https://18chains.com/

I'm getting around to updating the #rstats caret package. No new features is still the rule. The goal is to keep the interface the same while making it much easier to support. Link to the initial plan below; add comments if you have thoughts on improving the upkeep. github.com/topepo/caret...

upkeep plan for summer 2026 · Issue #1418 · topepo/caret

We have a paid intern this year who is interested in helping modernize caret to make support and upkeep easier. The current overall plan of no new features is still in place. We just want to make t...

github.com

I've just tried Posit Assistant on the free plan and must say, I'm impressed. Using the super-cheap Gemma 4 26B model (10% cost of Sonnet) on free plan it worked instantly. Hats of to the #posit team for integrating this into RStudio and allowing people to test with free plan!

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according to tech influencers, i’ve been using nearly all software completely wrong, and if i could just use them correctly they’d all completely destroy their competition, which if true would be mutual destruction across the board, leaving no software at all, so to use any i have to use some poorly

OpenTelemetry has come to R 🎉 Shiny, plumber2, mirai, httr2, ellmer, knitr, testthat, and DBI are now instrumented: production-grade traces from R with no code changes. Set a few env vars and telemetry flows to the backend of your choice. Full write-up: opensource.posit.co/blog/2026-05... #Rstats

Bringing OpenTelemetry to R in production

Posit has instrumented Shiny, plumber2, mirai, httr2, ellmer, knitr, testthat, and DBI with OpenTelemetry, and created tools for you to instrument your own packages, bringing production-grade observab...

opensource.posit.co

Still pretty wild to me that this works (and quite well!)—pull a pre-trained neural network, provide some of your own data in-context (in lieu of "training"), and start making predictions. Kudos to the team for the R interface and tidymodels integration.

Posit@posit.co · 3mo ago

Announcing tabpfn 0.1.0 for #RStats! 📊 Bring foundation models to your tabular workflows. TabPFN uses "in-context learning" to deliver high-accuracy predictions without traditional training cycles. Learn more: opensource.posit.co/blog/2026-03...

This is really big (if it works!)—a big limitation for the use of R in simulation up to this point has been memory bloat. I’ve had to turn off parallel processing/reduce the number of workers many times in my {targets} workflows due to OOM errors. Hopefully this will solve that problem #RStats

Charlie Gao@shikokuchuo.net · 3mo ago

Just released mori 0.1.0 on CRAN — a new R package for shared memory across processes. Parallel R no longer has to mean duplicating your dataset in every worker's RAM. opensource.posit.co/blog/2026-04... 🧵 1/3

There is a class of LLM critique I find impossible to take seriously. It goes like this: If left unchecked, a car will drive straight into anything in front of it. No shit, Sherlock. Let's do better at critique.