6  Causality

6.1 R packages needed for this chapter

library(tidyverse)
library(ggdag)  # optional  

6.2 Intro to causality

Check out this talk.

6.3 Literature

(rohrer_thinking_2018?) provides an accessible introduction to causal inference. Slightly more advanced is the introduction by one of the leading figures of the Field, Judea Pearl, (pearl_causal_2016?). If your after a text book on modelling that covers causal inference, and if you like Bayesian statistics, than you should definitely check out McElreath (2020).

McElreath, R. (2020). Statistical rethinking: A Bayesian course with examples in R and Stan (2nd ed.). Taylor and Francis, CRC Press.