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0.1.2 unbiasedness-0.1.2-py3-none-any.whl

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Project: unbiasedness
Version: 0.1.2
Filename: unbiasedness-0.1.2-py3-none-any.whl
Download: [link]
Size: 16287
MD5: 4740b161bda985cc3851a932fef9afae
SHA256: 7d2d2d548618d709eb923e399dc6665065a0f391c632c7cdcfc6bf0f15ce9084
Uploaded: 2024-02-06 12:50:43 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: unbiasedness
Version: 0.1.2
Summary: Functions for estimating unbiasedness regressions.
Author: Vincent Grégoire
Author-Email: vincent.gregoire[at]gmail.com
License: Apache License, Version 2
Classifier: License :: Other/Proprietary License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10,<4.0
Requires-Dist: numba (<1,>=0)
Requires-Dist: numpy (<2.0,>=1.24)
Requires-Dist: pandas (<3.0,>=2.0)
Requires-Dist: statsmodels (<1,>=0)
Description-Content-Type: text/markdown
[Description omitted; length: 123 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.8.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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unbiasedness/bootstrap.py sha256=CZpvtwVYp7iBL0xuebpCqh_4viiK_gXKitLQjkbMCDM 9613
unbiasedness/numba_jit.py sha256=BN4Aectlo7nVwg8DN-51BRVWQXz1fj7zXu_c2qrKaDQ 4048
unbiasedness/table.py sha256=EU7IajRQXgWUCJYewaCbwn7CcrN_E5SWuhCNV9G6oOM 13676
unbiasedness/unbiasedness.py sha256=e9tBZTyLyuxAnFGbKhOJOvnxO7sDxKWPCjQXQ_v_VQM 2553
unbiasedness/windows.py sha256=_Um8rnC4G7Ef9cjoqU4OShfOXieJ_4RF48FIhoTDzXw 9404
unbiasedness-0.1.2.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
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unbiasedness-0.1.2.dist-info/RECORD — —