Can't we just use `marginaleffects` after a model?

Charles Yang of Time for Three absolutely slaying me. I would lose my mind if I heard this live. Even crappy phone speakers made me scream and cry.

supernote!

#FromTheWorldToTheWorld
@supernote.com

Such a nice translation.

After two weeks, I'm finally done!

In this post, I explain different approaches for solving linear regression in R: directly, using QR, singular value and Cholesky decompositions, and do some benchmarking for comparison with in-built approaches.

thomvolker.github.io/blog/2506_re...

Foundations of Machine Learning Research on machine learning, experimental design, economic inequality, and optimal policy

@maxkasy.bsky.social uses POs in his bandit and reinforcement learning slides here maxkasy.github.io/home/ML_Oxfo...

PDF table made with LaTeX and tabularray with {tinytable}

R code for making the table

#rstats and #QuartoPub PSA: @vincentab.bsky.social's {tinytable} is the absolute best table making package out there for LaTeX output (it natively supports tabularray!), and it's phenomenal for HTML. It has fully replaced {gt} and {kableExtra} for me vincentarelbundock.github.io/tinytable/

Arthur Turrell Arthur Turrell is an economic data scientist.

I wrote this up here: aeturrell.com/blog/posts/c...

Those who used to follow me on Twitter know that I tediously made the distinction between a model and an estimation method. In one thread, I considered regressions in a treatment effect context:

Y on 1, D, X
Y on 1, D, X, D*(X - Xbar)

It is common to refer to the first as "OLS."

Says a lot that it's often easier to process/analyze European data using FRED than using European sources