Forked.
There are 10 weeks of instruction.
| Week ## | Meeting date | Reading | Lectures | Numpyro | Turing |
|---|---|---|---|---|---|
| Week 01 | 02 December | Chapters 1, 2 and 3 | The Golem of Prague <slides> <video> Garden of Forking Data <slides> <video> |
||
| Week 02 | 09 December | Chapter 4 | Geocentric Models <slides> <video> Wiggly Orbits <slides> <video> |
||
| Week 03 | 06 January | Chapters 5 and 6 | Spurious Waffles <slides> <video> Haunted DAG <slides> <video> |
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| Week 04 | 13 January | Chapter 7 | Ulysses' Compass <slides> <video> Model Comparison <slides> <video> |
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| Week 05 | 20 January | Chapters 8 and 9 | Conditional Manatees <slides> <video> Markov Chain Monte Carlo <slides> <video> |
||
| Week 06 | 27 January | Chapters 10 and 11 | Maximum entropy & GLMs <slides> <video> God Spiked the Integers <slides> <video> |
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| Week 07 | 03 February | Chapter 12 | Monsters & Mixtures <slides> <video> Ordered Categories, Left & Right <slides> <video> |
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| Week 08 | 10 February | Chapter 13 | Multilevel Models <slides> <video> Multilevel Models 2 <slides> <video> |
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| Week 09 | 24 February | Chapter 14 | Adventures in Covariance <slides> <video> Slopes, Instruments and Social Relations <slides> <video> |
||
| Week 10 | 03 March | Chapter 15 | Gaussian Processes <slides> <video> Missing Values and Measurement Error <slides> <video> |
│
├── data <- Data used in examples, copied over from
│ rethinking package and other places.
│
├── exploration <- Messy notebooks used to learn Julia, try
│ out different things, etc.
│
├── homework <- Forked questions and R code, along with
│ other flavours.
│
├── .gitignore
├── Project.toml <- Julia project file.
├── README.rst <- This file.
│
For those who want to use the original R code examples in the print book, you need to first install rstan. Go to http://mc-stan.org/ and find the instructions for your platform. Then you can install the rethinking package:
install.packages(c("devtools","mvtnorm","loo","coda"),dependencies=TRUE)
library(devtools)
install_github("rmcelreath/rethinking")
The code is all on github https://github.com/rmcelreath/rethinking/ and there are additional details about the package there, including information about using the more-up-to-date cmdstanr instead of rstan as the underlying MCMC engine.
The <Tidyverse/brms> conversion is very high quality and complete through Chapter 14.
Book and course. See also numpyro documentation.
The <Python/PyMC3> conversion is quite complete.
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>.
Another Turing port.
The are several other conversions. See the full list at https://xcelab.net/rm/statistical-rethinking/.