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Statistical Rethinking (2024 Edition)

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193 points lnyan | 1 comments | 16 Nov 24 18:08 UTC | HN request time: 0.199s | source
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These335 ◴[16 Nov 24 22:25 UTC] No.42159921[source]▶
I tried to follow along with the textbook before but really struggled with the practical side - R is just another world in terms of dependency management and organisation/documentation (compared to python at least). The book had me install some version of a library that was since unsupported. So I thought I would be a nerd and do everything in python instead, but there I had other problems installing pymc. After some hours of failing I just gave up. Can anyone speak to the state of the dependencies in this edition? Has everything been updated? Versions listed? Would love to give this another shot
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1. haberman ◴[17 Nov 24 00:27 UTC] No.42160856[source]▶
When I was working on the exercises, I found the Rocker project (https://rocker-project.org/) + DevContainers in VSCode to be a winning combination.

Combined with OrbStack (for Docker on MacOS) and Quarto (which is a nice Markdown-based alternative to Jupyter) I would go so far as to call the experience pleasant.

I don't remember running into version-related problems. Maybe I didn't make it as far in the book as you.