I'm planning on a GIANT roxygen2 release in the near future (tons of bug fixes, improved R6 support, new S7 support, ...) so if you use for your packages, I'd really appreciate you trying it out and letting me know if you see any problems! github.com/r-lib/roxyge... #rstats

pak::pkg_deps_tree() seems really handy

You lost me at calculus. Matrices are cool though.

Last week, the Pediatric Hospital at Home team visited to assess my son (6yo). Here's what I learned:

- Coverage: ~1M people
- Active cases: ~150
- High complexity (Level 3): 15
- Most critical cases: 3, my son included

Álex isn't far from 1-in-a-million bad effing luck.

Still kicking though.

Waterfall vs. Agile vs. AI development methodologies, illustrated through vehicle-building analogies. Three rows show how each approach delivers value across four stages: • Waterfall: Builds components sequentially toward a final product — a tire, then an axle, then a chassis, then a complete car. Nothing usable until the end. • Agile: Delivers working, incrementally better transportation at each stage — a skateboard, scooter, bicycle, motorcycle, then a car. Always something functional. • AI: Starts with an over-engineered, chaotic “Homer Simpson car” — a wild, impractical contraption — then progressively refines it into a normal, polished car. Begins too complex and simplifies toward usability.​​​​​​​​​​​​​​​​

a man is running down a street in front of a store that says starbucks ALT: a man is running down a street in front of a store that says starbucks

I went into the movie "The Life of Chuck" with no clue, and loved every minute of it.

It could also be the result of untreated trauma though. Your pick!

You caused such an impression that their brain now has "a type". That's good, I guess?

Guy I’m sponsoring very quietly releases #rstats package I’ve been wanting for the last couple of years.

pkg.yihui.org/gglite/doc/g...

Guess he shut up and took my money. 🤣🤣🤣

I wasn't shocked, but somehow it was way worse than expected!

Here goes my comprehensive review of the "Pro" Gemini integration in Google Workspace:

- large
- hot
- steaming pile
- of horseshit

Reid Wiseman on #Artemis II: "We have Earth out window 4 and Moon out window 3... the Moon is about 3-4 times the size of the Earth and it is almost full, and the Earth is just a small crescent out there... it's magnificent... such a majestic view out here"

Mission Control: "Amaze, amaze, amaze!"

'The real threat is a slow, comfortable drift toward not understanding what you're doing. Not a dramatic collapse. Just a generation of researchers who can produce results but can't produce understanding'

What a nice post on AI, education, learning, research and academia

Here we go! So many new good tooling for #Rstats

Species range shifts often speed ahead of their modeled climatic niches | PNAS Anticipating how species distributions will shift with climate change is key for biodiversity conservation and management. Commonly, species’ range...

After 4yr of hard work to compare empirical species range positions' shifts from the #BioShifts DB against predictions from niche-based models trained on climate & tailored to methodological attributes of each species & study, we found species shift ahead of models' predictions! 🦋

shorturl.at/vOmCw

Comparison of maxent and logistic models

Do you like Maxent? You can now use it within SpeciesDistributionToolkit.jl 🎉

We have also added a bunch of dataviz functions, including bivariate and value-suppressing maps. Oh, and conformal prediction for uncertainty quantification. And more coming soon.

poisotlab.github.io/SpeciesDistr...

🌏

RGB composite of Andalusia showing summer temperatures in red, normalized difference vegetation index in green, and annual rainfall in blue.

I never paid much attention to RGB composites, but this one representing summer temperature (red), annual ndvi (green), and annual rainfall (blue) in Andalusia is kinda cute.

It's hard to believe that a bedridden kid can have the energy of a raccoon on cocaine.

Took care of my son all morning and now I need a couple of days in a padded room.

The little guy is a pure source of never-ending chaos.

This sandbox for LLM agents looks great and very easy to use!: jai.scs.stanford.edu

Before LLMs, it used to take weeks to choose the worst possible idea, build it and ship it to prod. Now you can hallucinate your way to a product launch in a long weekend.

I've tried many workflow automation tools and nothing beats the #rstats package {targets}. It's pure R, simple (while being feature-rich, great support for parallel execution and multi-lingual workflows, this is calling Python+DuckDB). It *trounces* the likes of make/dagster 4me. Check it out!

Me too puppy, me too.

Fast, super-useful tool for catching #RStats errors and suspicious code patterns.

TIL one of my favorite bad habits is not spelling out TRUE/FALSE

Today I thought I had invented the revolutionary "tajin and mayo" combo, but nope, that's a thing already!

Still delicious though 😋

If you lack self-reflection and critical thinking, LLMs will only enhance the worst parts of you. And people will notice.

Wonderful work, James!