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waldronlab / Statistical Rethinking

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An interactive online reading of McElreath's Statistical Rethinking

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Statistical Rethinking

This repository represent the joint effort of Paris Lodron University of Salzburg and the City University of New York Graduate School of Public Health and Health Policy in creating an interactive online reading of McElreath's Statistical Rethinking: A Bayesian Course with Examples in R and Stan. In each of our weekly meetings, a chapter of the book is presented by a developing instructor with a focus on using the R language. Our meetings are open to all (see details below) and our materials are licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License. We hope you find these materials useful and will join our sessions.

The Book

McElreath, R. Statistical Rethinking: A Bayesian Course with Examples in R and Stan. (CRC Press/Taylor & Francis Group, 2016).

Getting Started

  1. Obtain a free copy of the book by requesting access to our shared Google Drive directory via this link.

  2. If you don't already have them, install R and RStudio following these instructions.

  3. Sign up for a GitHub account (also free) and clone this repository (open membership) in RStudio. Don't know what that means? Follow this tutorial. The process in RStudio is documented here or there is a video here.

  4. Join our Google Group (open membership) and sign up to receive emails by visiting https://groups.google.com/d/forum/statisticalrethinking.

  5. Join our Google Calendar (open membership) to receive meeting reminders by subscribing to the calendar's email address ([email protected]).

Our Meetings

When: Wednesday's from 11:15-12:15 (NYC) / 17:15-18:15 (Salzburg)

Where: https://tinyurl.com/yb8sq7qd

Recordings: https://tinyurl.com/yamyfma7

Schedule

date chapter presenter
2018-01-31 Preface (recorded) schifferl
2018-02-07 The Golem of Prague (recorded) schifferl
2018-02-21 Small Worlds and Large Worlds (recorded) schifferl
2018-02-28 Sampling the Imaginary (recorded) ITtraveller
2018-03-07 Sampling the Imaginary (exercises) ITtraveller
2018-03-14 Linear Models & Multivariate Linear Models $ neoglez
2018-03-21 Overfitting and Model Comparison raph333
2018-04-18 Interactions SimoneMüller
2018-04-25 Markov chain Monte Carlo Estimation philippgrafendorfe
2018-05-02 Big Entropy and the Generalized Linear Model tini12345
2018-05-09 Counting and Classification msteger93
2018-05-16 Monsters and Mixtures judithparkinson
2018-05-23 Multilevel Models tamara-maier
2018-05-30 Adventures in Covariance KlemensKurtz
2018-06-13 Missing Data and Other Opportunities (recorded) AlexanderKlettner
2018-06-20 Horoscopes (recorded) Dollak Florian

$ only a brief review of linear models - please read both chapters for 3-14

Presenting

  1. Pick the date or topic that best suits you.

  2. Edit this file, adding you GitHub username to the schedule table.

  3. Read the chapter in the book.

  4. Edit the presentation file using RStudio. All presentations should be authored using the .Rpres format, more information about the format is available here. Additionally, some previous presentations that can be used as examples are available here.

  5. Edit the exercises file using RStudio. All exercises should be authored using the .Rmd format, more information about the format is available here. Additionally, some previous exercises that can be used as examples are available here.

  6. Commit the presentation and exercises to GitHub from RStudio so that it is available to others. Don't know what that means? The process is documented here or there is a video here.

  7. Present your hard work at the weekly meeting!

Getting Help

Still need help? Email the Google Group ([email protected]).

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].