🎓 Path to a free self-taught education in Computer Science!

Repo for Yale Applied Empirical Methods PHD Course

This is an old deactivated fork. Go to the current repo at livialima/linuxupskillchallenge

Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.

Example models for Stan

A PhD course in Applied Econometrics and Panel Data

Repository for the second edition of 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Joshua M. Rosenberg, and Isabella C. Velásquez

Inference case studies in knitr

Tools and Data for Quantitative Peace Science

Code to produce ideal point estimates for United Nations General Assembly votes, including issue specific ideal points

Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science