Statistical Rethinking (2022 Edition)

# · 🔥 468 · 💬 124 · 2 years ago · github.com · eternalban · 📷
This course teaches data analysis, but it focuses on scientific models first. We will use Bayesian data analysis to connect scientific models to evidence. Students can engage with the material using either the original R code examples or one of several conversions to other computing environments. The conversions are not always exact, but they are rather complete. Original R Flavor For those who want to use the original R code examples in the print book, you need to install the rethinking R package. R + Tidyverse + ggplot2 + brms The <Tidyverse/brms> conversion is very high quality and complete through Chapter 14. Julia and Turing The <Julia/Turing> conversion is not as complete, but is growing fast and presents the Rethinking examples in multiple Julia engines, including the great <TuringLang>.
Statistical Rethinking (2022 Edition)



Send Feedback | WebAssembly Version (beta)