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Like Solomon Kurz, I take a { tidyverse } (Wickham, 2019; Wickham et al., 2019) and { brms } (Bürkner, 2017, 2018, 2020) approach to solving these problems. For a translation of the actual book text to {tidyverse} and {brms} style code, please check out their project, Statistical rethinking with brms, ggplot2, and the tidyverse: Second edition.
Where can I find the book Statistical Rethinking?
The book is accompanied by an R package, rethinking. The package is available here and from on github. The core of this package is two functions, quap and ulam, that allow many different statistical models to be built up from standard model formulas.
What is the best book to read If I want to improve my statistics skills?
This project is a companion to Richard McElreath’s Statistical Rethinking (McElreath, 2020). For each of the 10 weeks, of the course (materials provided here ), I work through the exercises in each chapter covered that week.
Which is the best course for Statistical Rethinking?
For more detail about what is new, look here. * NumPyro! Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds your knowledge of and confidence in making inferences from data.
Last Update: Oct 2021
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