DoubleML/doubleml-for-r
DoubleML - Double Machine Learning in R
This package helps researchers, economists, and data scientists estimate causal effects and treatment parameters more reliably using observational data. It takes your raw datasets and applies advanced machine learning techniques to separate the signal from the noise, providing robust statistical estimates and confidence intervals for your key variables of interest. You would use this if you need to understand the true impact of a policy, intervention, or factor in complex scenarios.
160 stars. No commits in the last 6 months.
Use this if you are an econometrician, statistician, or data scientist working with R and need to rigorously estimate causal relationships while accounting for confounding factors using modern machine learning.
Not ideal if you are looking for simple predictive models without a focus on causal inference or if you prefer a graphical user interface over programmatic R scripting.
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160
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Language
R
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Last pushed
Apr 14, 2025
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