witsyke / ci-taec-discretization-impact

Impact of Data Discretization on Causal Inference for a Real-World Environment-Health Scenario

This is the supplementary repository for the research on discretization on real world applicatin scenarios conducted as part of the lecture "Causal Inference - Theory and Applications in Enterprise Computing" at the Hasso Plattner Institute in Potsdam.

Package Specifications

1. R Version 4.0.0 (2020-04-24)
2. causaleffect 1.3.10
3. bnlearn 4.5
4. ckmeans 4.3.2

Pipeline

Setup

install-packages.R

Data generation

data-generator.R

Causal Strucute Learning

discretized-csl.R

Causal Inference

effect-estimation.R

Helpful commands

Interactive graph (igraph)

tkplot(graph, vertex.size=35, vertex.label.family="sans", vertex.color="white")