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59 public repositories
matching this topic...
Eliot: the logging system that tells you *why* it happened
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Updated
Jan 23, 2020
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Python
A toolbox for integrated information theory.
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Updated
Jul 17, 2020
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Python
A resource list for causality in statistics, data science and physics
The rooster crows immediately before sunrise, the rooster causes the sun to rise
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Jul 28, 2017
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Scala
Causal Inference Using Quasi-Experimental Methods
Implementation of Tyler Vanderweele's methods for mediation
Supplementary Materials for ``Quantitative Social Science: An Introduction''
An R package for causal inference in time series
An R package for causal inference with interference ('inferference')
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Oct 26, 2017
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HTML
Comparison of Double Robust Methods with Positivity Violations (R-package)
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Feb 16, 2017
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Python
Causal Inference in Epidemiology
Causal inference under multiple treatments using BART
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
R Wrapper for Tetrad Library
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Mar 15, 2017
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Java
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
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Nov 20, 2017
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Python
The Hetcor PC algorithm for causal discovery from mixed continuous and ordinal data.
An index of algorithms for learning causality with data
Causal discovery from mixed data with missing values.
R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
Simulating Longitudinal and Network Data with Causal Inference Applications
Repository with code and slides for a tutorial on causal inference.
Causal Inference using Bayesian Additive Regression Trees
Effect modification and collapsibility when estimating the effectiveness of public health interventions: A Monte Carlo Simulation
Ancestral Causal Inference (ACI)
Generates synthetic data to apply simulations for causal inference
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