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Summary:
Multi-domain scientific computing toolkit (Python + R) for observational inference and intervention analysis, hosting the MRM (Multilevel Reconciliation Methodology) framework for Canadian carceral, police, and oversight data. 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:
0.9.9
Required dependencies:
beautifulsoup4
|
doubleml
|
httpx
|
lxml
|
matplotlib
|
numba
|
numpy
|
openpyxl
|
pandas
|
rich
|
scikit-learn
|
scipy
|
stamina
|
statsmodels
Optional dependencies:
codecarbon
|
dashing
|
enlighten
|
google-cloud-bigquery
|
imbalanced-learn
|
jax
|
myst-parser
|
psutil
|
pypdf
|
pytest
|
pytest-cov
|
sphinx
|
sphinx-sitemap
|
sphinxcontrib-mermaid
|
sphinxext-opengraph
|
textual
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