R code for causal graph animations
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Updated
Mar 1, 2019 - R
R code for causal graph animations
Two-sample two-stage least squares estimation
TWFE/DID recent literature exploration
Causal Analysis Experiment of Academic Paper's Title length on Number of Citation
Working with the causaleffects and igraph
Causally oriented doctoral econometrics course at UO, taught by Ed Rubin
My introduction to Causality. I used a breast cancer dataset and tried to classify cell types by using the causal relationship between the cell features.
[Python] Building a demand model and correcting for reverse causation with 2-stage least squares regression (OLS in statsmodels, IV2SLS in linearmodels)
Repo for the case study: Causal Baseball - The Case of Reach on Error
Reproducible code for our paper "Measuring Strength of Joint Causal Effects", IEEE TSP 2024.
A causality visualization tool
Demo web built with Blazor WebAssembly .NET5 gRPC Server Side Cache into memory and Client Side Cache into localstorage and indexedDB
R companion to Angrist Pischke Mostly Harmless econometrics
GoCausal is a Go library for causal discovery that implements both classical and state-of-the-art causal discovery algorithms, which is a golang port of causal-learn.
Source Code for the Paper "Practical Algorithms for Orientations of Partially Directed Graphical Models"
Interpolation functions for a discrete signal
The Best Paintings in Life Are Free: A Study of the Effects of Pricing Variance on the Enjoyment of Fine Art Paintings and Perceptions of Artists’ Abilities: A causal experiment with 381 randomly selected subjects, determining whether the price of a painting impacts a subject's enjoyment of it and their perception of its quality.
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