Modern Probability Modeling
Marginal effects
Learn how to interpret statistical and machine learning models using the marginaleffects package for R and Python. Compute marginal effects, marginal means, contrasts, odds ratios, hypothesis tests, equivalence tests, slopes, and more. Free software, book, tutorials, and documentation available.
Bayes Rules! An Introduction to Applied Bayesian Modeling
An introduction to applied Bayesian modeling.
Welcome | Handbook of Regression Modeling in People Analytics: With Examples in R, Python and Julia
A technical manual of inferential statistics and regression modeling in the people and social sciences
StatPrimer (c) B. Gerstman 2003, 2006, 2016
Think Bayes 2 — Think Bayes