Required Texts:
McElreath, R. Statistical Rethinking: A Bayesian Course with Examples in
R and Stan. 2015. https://www.amazon.com/Statistical-Rethinking-Bayesian-Examples-Chapman/dp/1482253445
Recommended Texts:
I will be drawing on examples and materials from a few other sources.
They include wonderful examples of R code in the context of data
analysis. You are not required to have these, but you will either find
them useful in this course or in future endeavors.
Bolker, B. (2009) Ecological Models and Data in R. Princeton University Press. http://www.amazon.com/Ecological-Models-Data-Benjamin-Bolker/dp/0691125228
Gelman, A., and Hill, J. (2006) Data Analysis Using Regression and Multilevel/Hierarchical Models. https://www.amazon.com/Analysis-Regression-Multilevel-Hierarchical-Models/dp/052168689X
Song, S. Qian (2009) Environmental and Ecological Statistics with R. Chapman and Hall/CRC Press, London. http://www.amazon.com/Environmental-Ecological-Statistics-Chapman-Applied-ebook/dp/B005H6YDPU
Wickham, H. 2014. Advanced R. The book can be found online at http://adv-r.had.co.nz/
Zuur, A. et al. (2009) Mixed Effects Models and Extensions in Ecology with R. https://www.amazon.com/Effects-Extensions-Ecology-Statistics-Biology-ebook/dp/B008CLYMQW/ref=sr_1_1?ie=UTF8&qid=1485273094&sr=8-1&keywords=zuur
Software