https://github.com/seananderson/bayes-course

An introduction to Bayesian data analysis with Stan (a work in progress)
https://github.com/seananderson/bayes-course

Last synced: 5 days ago
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An introduction to Bayesian data analysis with Stan (a work in progress)

• Host: GitHub
• URL: https://github.com/seananderson/bayes-course
• Owner: seananderson
• License: cc-by-4.0
• Created: 2018-05-11T00:59:35.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-01-22T22:04:41.000Z (10 months ago)
• Last Synced: 2024-10-12T01:19:44.595Z (27 days ago)
• Language: R
• Homepage:
• Size: 76.2 KB
• Stars: 24
• Watchers: 6
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# An introduction to Bayesian data analysis for ecologists

[![Project Status: WIP - Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](http://www.repostatus.org/badges/latest/wip.svg)](http://www.repostatus.org/#wip)

Material for a workshop. [Slides here](https://www.dropbox.com/sh/7p0o5w555miv5tu/AAAy7hHkITxybmHu-8jU5DGNa?dl=0).

If you are taking this workshop, start by running the file `00-install.R` in R to install the necessary packages and make sure your computer is set up properly.

The course draws partly on teaching ideas from:

Hobbs, N.T., and Hooten, M.B. 2015. Bayesian models: a statistical primer for ecologists. Princeton University Press, Princeton, New Jersey.

McElreath, R. 2016. Statistical rethinking: a Bayesian course with examples in R and Stan. CRC Press/Taylor & Francis Group, Boca Raton.

To start:

```r

# install.packages("usethis")

usethis::use_course("bit.ly/bayes-course")

```