A few weeks ago I released (so far only on r-universe) the 0.1.0 version of my array computing framework for R (jit compiles, supports autodiff and runs on CPU and GPU): Check it out here: https://github.com/r-xla/anvil #rstats

@hrbrmstr @eitsupi Cool cool. Sent you both collab invites. No pressure and can always re-invite later if that's what you'd prefer. But it's there if you have time/interest.

@eitsupi @hrbrmstr Ha, nice. Do you want to add the Go binary/component to the upstream repo then? Again, happy to add you as a contributor.

@brodriguesco Testing welcome 🙏

unigd has been removed from CRAN, but jgd courtesy of @gmcd might be worth checking (I understand it’s a super early alpha): https://github.com/grantmcdermott/jgd

@eitsupi @hrbrmstr Happy to add you to the repo too. I think the main pieces are all there; it's "just" Windows support needed before we can submit. But helps to have multiple hands available for FRs etc.

P.S. I hope you noticed `arf` being used in the screenshot.

@hrbrmstr nice! Happy to give you admin access, if you think it makes sense to bundle this as part of the repo. Lmk.

Experimental #rstats package for nice graphics display and UX in VS Code (and other potential front-ends)

https://github.com/grantmcdermott/jgd

Very lightweight and seems to work as expected on my system, but please kick the tyres.

🆕 pandoc 3.9 🎉🚀

• Official support for wasm (WebAssembly), allowing to run pandoc in the browser,
• the *alerts* extension is now available in the pandoc Markdown flavor,
• support for defaults files using JSON instead of YAML,
• extension of `${.}` vars in the `defaults` field, making it easier to base defaults files on other defaults,
• method to run Lua code with a modified pandoc state,
• and much more

Many thanks to all who contributed!

https://github.com/jgm/pandoc/releases/tag/3.9

#pandoc #release

@eitsupi I've been testing this out for the last day or two, including integration with VS Code. Very smooth and performant so far.

Nice work!

After an interminable delay, we finally managed to finish up the `fixest` paper (and submit for review). WP version available on Arxiv: https://arxiv.org/abs/2601.21749

Please consider citing if you are a `fixest` user!

#rstats

Btw, the latest rixpress version now supports Sub-Pipelines! rixpress: reproducible analytical pipelines in #RStats, #Python and #Julia using #Nix as the underlying build tool!

I've been working on arf console, an R terminal implemented in Rust, for about two weeks as a coding practice using Claude Code.
I can't say that I've tested it thoroughly myself (unfortunately, I found two serious bugs when I tried using it myself right after it was opened😫), but if you're interested, I'd be happy to give it a try. #rstats
https://github.com/eitsupi/arf

New features include:

- fast binscatter regression on a database backend
- new acceleration strategies
- analytical clustered SEs
- interaction terms support
- stats methods (predict, vcov, etc.)
- integration with tabling sw
- etc.

Full v0.0.3 changelog: https://grantmcdermott.com/dbreg/NEWS.html#dbreg-0.0.3

[2/2]

Things are grim. But in more frivolous news...

@jamesbrandecon.bsky.social
and I have been chipping away at `dbreg`, a 📦 for running big regression models on database backends. For the right kinds of problems, the speed-ups are near magical.

Website: grantmcdermott.com/dbreg/

#rstats

[1/2]

RE: https://mastodon.social/@andrewnez/115799243402962350

I am glad #rstats has #CRAN

After 15 months of hard work, my dad has finished this impressive model of Minas Tirith! It is 1.4 m high and entirely hand-made out of wood. One of the most time-consuming parts was manually engraving the bricks on all walls and buildings, but this was key to properly convey the huge size of the city. Everything was painted by hand, adding some wear and tear. For a behind-the-scenes look at how he built this check out this video: https://www.youtube.com/watch?v=Z1Ywlc8ojjE

#lotr #MastoArt #art #craft

https://github.com/grantmcdermott/dbreg/pull/29 👀

New version of {maplegend} ! 📦
{maplegend} is an R package for creating, well, map legends. 🙂
This version improves the display of legends in plots and introduces two new features: a histogram legend type, and arguments to set decimal and big value separators.

🔗 Blog post: https://rcarto.github.io/posts/maplegend_v0.4.0/

:rstats: https://cran.r-project.org/web/packages/maplegend/index.html

:git: https://github.com/riatelab/maplegend/

#rstats #rspatial #gisChat #GIS

Very much a niche topic, but I'd greatly appreciate it if any #rstats Spark / Kubernetes experts could help me with this issue. https://github.com/sparklyr/sparklyr/issues/3506