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Author:
Vansh Singh Ruhela
Summary:
Multi-domain scientific computing toolkit (Python + R) for observational inference and intervention analysis. Provides causal estimators (ATE, ATT, AIPW, DML, G-computation), survey sampling, propensity-score and doubly-robust methods, sensitivity analysis, spatial statistics, Hawkes point processes, and psychometrics, with a unified RichResult output.
Latest version:
1.4.5
Required dependencies:
beautifulsoup4
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httpx
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openpyxl
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rich
Optional dependencies:
myst-parser
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numpy
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pytest
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pytest-xdist
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sphinx
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sphinx-sitemap
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sphinxcontrib-mermaid
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sphinxext-opengraph
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textual
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