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PyCausality

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1.2.0 PyCausality-1.2.0-py3-none-any.whl

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Project: PyCausality
Version: 1.2.0
Filename: PyCausality-1.2.0-py3-none-any.whl
Download: [link]
Size: 22807
MD5: b43adb5dec1d38ac7ae5afebc44d9f2f
SHA256: 60afbbdae38ac3acd244046a7137ba12e7c8bc2824dd69dbccb04d9f06e6d639
Uploaded: 2018-12-24 13:23:07 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: PyCausality
Version: 1.2.0
Summary: Extended significance testing to linear TE calculations
Author: Zac Keskin
Author-Email: Zac.Keskin.17[at]ucl.ac.uk
Maintainer: Zac Keskin
Maintainer-Email: zackeskin[at]outlook.com
Home-Page: https://github.com/ZacKeskin/PyCausality
License: GNU GPLv3
Requires-Python: >3.5.2
Requires-Dist: pandas
Requires-Dist: statsmodels
Requires-Dist: numpy
Requires-Dist: python-dateutil (==2.6.1)
Requires-Dist: nose
[Description omitted; length: 229 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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PyCausality/Utils/Utils.py sha256=VLQXAVxGXdceQnUspJi_aQs12DOCir3E8WzRYjsWW1c 28890
PyCausality/Utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
PyCausality-1.2.0.dist-info/METADATA sha256=ihqMric5B4poSPhr5GUCzKb3oWr2WgjVtn_sRFCNa9Q 714
PyCausality-1.2.0.dist-info/RECORD — —
PyCausality-1.2.0.dist-info/WHEEL sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI 92
PyCausality-1.2.0.dist-info/top_level.txt sha256=WMrU1i7IHeJ1LlBWa_4E2mDSJdapkNSs7OCD3Prorh8 12

top_level.txt

PyCausality