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Author:
Bryce Wang
License:
MIT License
Copyright (c) 2026 Bryce Wang
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documen...
Summary:
A specification-search audit and p-hacking benchmark for econometric designs: every search leaves a complete, verifiable ledger and a null-calibrated honest p-value; realistic search procedures are replayed on null data; Stata / R / Python / StatsPAI runners over the same grid. For research and teaching about p-hacking, not for producing findings.
Latest version:
0.5.0
Required dependencies:
matplotlib
|
numpy
|
pandas
|
scipy
Optional dependencies:
jsonschema
|
linearmodels
|
mkdocs
|
mkdocs-material
|
openpyxl
|
pyarrow
|
pytest
|
statsmodels
|
statspai
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