vincentab.bsky.social
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.”
http://arelbundock.com
605 posts
5,717 followers
1,336 following
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Limited experience, but AeroSpace seems nice: nikitabobko.github.io/AeroSpace/gu...
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I was on xmonad and i3 for years. Now I need to look up what the hip new tiling manager is and give it a try.
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That new package was my first serious vibe coding attempt.
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One common exception might be factorial experiments in convenience samples, where you want treatment conditions to have the same weights. Finally, note that average quantities have nice mapping to causal quantities in many "traditions"
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If there's any heterogeneity at all and your sample is somewhat representative of a population of interest, I think you should average. Personally, I never create manual grids unless there's fabulous (non-lazy) reasons to care about specific predictor values.
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Consider this vignette. Often, there is massive variation in predictions (or contrasts, risk ratios, slopes, etc.), depending on where you evaluate the quantity on the predictor space. You can pick an arbitrary point/individual, but it won't be representa of pop. marginaleffects.com/bonus/logit....
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We should have orders of magnitude fewer “theories” in PS than we do papers.
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This norm rewards (sometimes dubious) claims of theoretical novelty, rather than encouraging us to build on each other in a cumulative way. They say: send empirical pieces to “specialty journals.” But top journals like AJPS make or break careers, so the incentives are strong (and bad, I think). 2/2
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lol. My favorite new one is this `estimator` argument that facilitates bootstrapping multi-step estimation procedures: marginaleffects.com/bonus/bootst...
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yeah, that's what I meant. I've been trying out claude code and it's kind of amazing (at some things).
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There's lots of stuff to learn, but here's the gist of it
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It'll even install python for you if you don't have it.
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cosign on polars and uv. Fixed the two major reasons I had given up many years ago.
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Thankfully, boilerplate is getting cheaper and easier by the day.
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Also simulating linear systems for DAGs, of course
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Another fun intro example is to have students do Frisch–Waugh–Lovell as two regressions w/ residuals. I find it helps them understand the logic of "control."
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lol
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I don't have reading to recommend, but here's a blog post where I did simulation-based power calculations for g computation estimates: arelbundock.com/posts/money_...
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Sorry about that! We're headed toward version 1.0.0. I'm not planning any big changes until release, and the interface will become very stable from then on.
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Aah, thanks for asking! Website says November, but I've not received official confirmation from the publisher yet, and pre-orders are not yet possible. I'll post incessantly about it when it's available 😉 www.taylorfrancis.com/books/mono/1...
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This looks fascinating! I can't wait to take a closer look!
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Feels like a plot by JSS to artificially pump up their impact factor.
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lol. 🤞
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That's far too sweeping a critique. There are many good use cases for surveys even in low information environments.
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I like that one. It's one of the clearer treatment of the relationship between collapsibility and generalizability/transportability.
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Oh cool. Still, not sure I should impose on a stranger to explain their work to a neophyte like me. 🤷
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Right. But in this Popperian account, severity is not affected by p-hacking, because the friendly-hostile community of critical scientists can always determine the "sincerity" of a test. If that's the world where pre-reg doesn't matter, I don't feel super comforted.
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Not sure I get it. Is the key argument that pre-reg doesn't matter (a) in the Popperian view if science is self-correcting via a community of friendly-adversarial scientists, and (b) in the Mayo view when people don't follow their pre-reg?
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lol yeah, I had forgotten about that! It was my "learn python" project in grad school. Feels like forever ago
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And a real downer for new (better software). Status quo bias is going to be massive.
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Félicitations!!
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Yeah, this is a very cool graph.
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Yep. I need to release `tinytable` before the next version of `modelsummary`, but you can install both from Github now. Sorry for the issue. Please feel free to open a bug report on Github next time you see something weird like that.
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No no. The nudge was very useful. I completely forgot about this when I updated the site.
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Sorry about that. Link is back up here: arelbundock.com/posts/dt_tb_...
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Wow that Danish looks craaazy. (And I'm happy you got to see that show! Must have been cool.)
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it's a good one
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I like this frame a lot! And I'll add another incentive category (what I personally care most about): lowering the cost of good science.