Textbooks:
McElreath, R. (2018). Statistical rethinking: A Bayesian course with examples in R and Stan. Chapman and Hall/CRC.
Learn R and project workflow practices:
- {swirl} stats: learn R, in R.
- Row-oriented workflows in R with the tidyverse
- What they forgot to teach you about R
- Happy Git and GitHub for the UserR
- Fundamentals of data visualization
R Packages and tutorials:
1) brms: Bayesian generalized multivariate non-linear multilevel models using Stan
- brms website
- Blogs: a) List of brms blogs, b) Fitting GAMs with brms, c) Model selection and cross-validation using loo
2) mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
- mgcv website
- Paper with examples and code: Hierarchical generalized additive models in ecology: an introduction with mgcv
3) mgcViz: An R package for interactive visualization of GAM models
4) gratia: ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
5) tidybayes: Bayesian analysis + tidy data + geoms
Cloud computing resources:
Forums: