R companion to Angrist Pischke Mostly Harmless econometrics
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Updated
Oct 4, 2015 - R
R companion to Angrist Pischke Mostly Harmless econometrics
Estimates the inference of a Fuzzy Cognitive Map (FCM). Provides a selection of 6 different inference rules and 4 threshold functions in order to obtain the inference of the FCM.
Code to accompany and provide results for "Causal Queries from Observational Data in Biological Systems with Bayesian Networks: An Empirical Study in Small Networks"
Causal Discovery between Manufacturer-Retailer price channels
Inference in instrumental variables models robust to many instruments
This project provide a new method to infer the causal structure among genes. Characterize genes into Causal/effect genes.
R code for causal graph animations
Causal Deconvolution of Networks by Algorithmic Generative Models
R code for Angrist & Pischke Mastering Metrics
R code for Angrist & Pischke Mastering Metrics
The simMixedDAG package enables simulation of "real life" datasets from DAGs
The orientDAG package is used to orient DAG edges. It also includes utility functions to convert DAGs between different representations as well as measure DAG dissimilarity measures.
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Find sub groups (segments) with heterogeneous treatment effect in Randomised Controlled Trial data.
learnr tutorial package for Quantitative Social Science
Supplementary Materials for ``Quantitative Social Science: An Introduction''
An R package for learning context-specific causal models, called CStrees, based on observational, or a mix of observational and interventional, data.
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