Statistical Rethinking - A Bayesian Course with Examples in R and Stan (and PyMC3, brms, and Julia too)
3 years ago by ericjmorey to c/r_programming
cross-posted from: https://programming.dev/post/6990204
Richard McElreath has made his course materials available on GitHub.
However, the course follows the 2nd edition of McElreath's book Statistical Rethinking which is not available in a free digital format.
After watching the first lecture in the Statistical Rethinking 2023 YouTube Playlist, I might go ahead and purchase the text and use this course instead of Trevor Hastie and Rob Tibshirani's An Introduction to Statistical Learning (with Applications in R or Python) course.
I also like that this resource has made an explicit attempt to provide code examples in Julia as well as the more popular Python and R.
I wasn't sure who Richard McElreath was so I did a quick search which revealed his position as Director of the Department of Human Behavior, Ecology and Culture at the Max Planck Institute for Evolutionary Anthropology in Leipzig.
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@programming.dev
Please use this as a forum to discuss R, and learn more about it. If you have any questions about how to do specific things in R, this is the place to ask.
Getting Started
You can download R here.
You can download RStudio here. RStudio IDE, which is supported by Posit PBC, is a powerful and well-developed IDE for R. Other development environment options include Emacs addon Emacs Speak Statistics and VSCode.
Other Communities
Other communities that may be of interest across the fediverse:
- https://lemmy.ml/c/rstats
- https://lemmy.ml/c/dataisbeautiful
- https://lemmy.world/c/dataisbeautiful
- https://code4lib.net/c/datascience
- https://discuss.tchncs.de/c/data_engineering
Please send @a_statistician a message to recommend additional communities to add to this list.
Learning resources:
- R for Data Science - a good introductory book for learning R. Start here if you're overwhelmed.
- Big Book of R - collection of more than 500 online books/tutorials covering various aspects of R. Some links are to paid books with previews, but most links are to free online textbooks.
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