An introduction to Bayesian data analysis with Stan (a work in progress)
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00-install.R
00-make-exercises.R
00-plan.md
01-small-world.Rmd
02-mcmc-demo.Rmd
03-posterior-predictive.Rmd
03-rstanarm-basic.Rmd
04-stan-priors-demo.Rmd
05-stan-programming.Rmd Tweaks May 18, 2018
05-stan-timeseries.Rmd
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LICENSE.txt md -> txt Jun 5, 2018
README.md
bayes-course.Rproj

README.md

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.

Material for a workshop. Slides here.

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:

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