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functe

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0.0.2a0 functe-0.0.2a0-py3-none-any.whl

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Project: functe
Version: 0.0.2a0
Filename: functe-0.0.2a0-py3-none-any.whl
Download: [link]
Size: 21295
MD5: fdf289d04730b5a6611362999782a965
SHA256: d1befa14447ed15742d368bff775662c5ee450e7a168f08675352767e303cf63
Uploaded: 2023-01-27 12:40:41 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: functe
Version: 0.0.2a0
Summary: Estimation of functional treatment effects
Author: Tim Mensinger
Author-Email: tmensinger[at]uni-bonn.de
Home-Page: https://github.com/timmens/fte
Project-Url: Changelog, https://github.com/timmens/fte
Project-Url: Documentation, https://github.com/timmens/fte
Project-Url: Github, https://github.com/timmens/fte
Project-Url: Tracker, https://github.com/timmens/fte/issues
License: MIT
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
Requires-Python: >=3.8
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pytask
Requires-Dist: scikit-learn
Requires-Dist: scipy
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 592 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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fte/config.py sha256=j2Sb8xDTDgUzKwl7WsN5jhwnLApmm1rvxBwf4mfhtEc 253
fte/covariance_operator.py sha256=pzfn2-3Oyvz3Zqsy5Dal_W7s6-Z2qyGZh0YCxy8JFHQ 4271
fte/utilities.py sha256=zok6ti5vVvLLRKfUDueGpA6JpaLwFgSYvVL03NliaCo 179
fte/confidence_bands/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
fte/confidence_bands/bands.py sha256=CKoeaUfX63HwUPJ_nDBTuIcN2wnJdgJVHvM3xVn_c5M 16280
fte/fitting/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
fte/fitting/doubly_robust.py sha256=mN_d7zVYFwvejjrW8-DwC0eqd3RsJM-x8Kq0GL82RS4 7944
fte/fitting/fitting.py sha256=zGHgv701TrmR-zOTqmCJt2J0p3B0OPLufoPPk4N1Pos 2433
fte/montypy/__init__.py sha256=mFQzq9tG_QPX6T544KURkX5R4v2Va5S-Xer5tXogGMU 87
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fte/montypy/generic.py sha256=cxjk72etjihr_g5mmgXP-p_7AnruoirIAbFC3pjNMVM 2700
fte/plotting/plotting.py sha256=sW2U0drzcGWb5HX9-1uGpeTO1pK3MGmPtSAWX7Pm9E0 3108
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fte/simulation/coverage.py sha256=iCfrB8CC8obayjDPv53rMmSemJ9NJ2ykkYAWo1T3UDo 1590
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fte/simulation/simulate.py sha256=C4YhhcVw-wmaAuRd7pTAe7QzV9f2BYlgAYwNl2_jFhY 12751
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functe-0.0.2a0.dist-info/RECORD — —

top_level.txt

fte