This page outlines our 8+ open-source packages developed for computer vision, NLP, computational social science, causal inference, and data analysis tasks — with links to documentation, demos, and related publications. Contributions to features or bug fixes are welcome via GitHub issues or pull requests.
Packages
readme2: An R Package for Improved Automated Nonparametric Content Analysis for Social Science
[Readme] [Documentation] [Patent] [.bib]
[Overview] [Article]
[Tutorial]
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causalimages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images
[Readme] [Documentation] [.bib]
[Overview] [Article]
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LinkOrgs: An R Package for Linking Datasets on Organizations Using Half-a-Billion Open-Collaborated Records
[Readme] [Documentation] [.bib]
[Overview] [Article]
[Tutorial]
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fastrerandomize: An R Package for Fast Rerandomization Using Accelerated Computing
[Readme] [Documentation] [.bib]
[Overview] [Article] [CRAN]
[Tutorial]
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DescriptiveRepresentationCalculator: Descriptive Representation Calculator from ‘The Composition of Descriptive Representation’
[Readme] [Documentation] [.bib]
[Overview] [Article] [CRAN]
[Tutorial]
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unshrink: Package for Post-hoc Debiasing of ML Predictions for Causal Inference
[Readme] [Article] [.bib]
[Tutorial]
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lpmec: Package for Measurement Error Corrections Under Identification Restrictions
[Readme] [Documentation] [.bib]
[CRAN] [Article]
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Tutorials
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Note: We welcome contributed features or bug fixes (you can raise an issue or submit a pull request in the relevant GitHub repository).
See [.bib] for bibliographical information. See also Research.