Index for the code and data for the book Regression and Other Stories
Below folders (ending /) point to the code folders in github, and .html -files point to pretty notebooks.
Code and data by chapters
3 Some basic methods in mathematics and probability
4 Generative models and statistical inference
6 Background on regression modeling
7 Linear regression with a single predictor
8 Fitting regression models
9 Prediction and Bayesian inference
10 Linear regression with multiple predictors
11 Assumptions, diagnostics, and model evaluation
14 Working with logistic regression
15 Other generalized linear models
16 Design and sample size decisions
17 Poststratification and missing-data imputation
18 Causal inference basics and randomized experiments
19 Causal inference using regression on the treatment variable
20 Observational studies with all confounders assumed to be measured
21 More advanced topics in causal inference
22 Advanced regression and multilevel models
Code and data alphabetically