lmdiag

View on PyPIReverse Dependencies (0)

0.4.1 lmdiag-0.4.1-py3-none-any.whl

Wheel Details

Project: lmdiag
Version: 0.4.1
Filename: lmdiag-0.4.1-py3-none-any.whl
Download: [link]
Size: 13479
MD5: 8dee1dbfe996002f41c6a7353d5f56dd
SHA256: 1c7413463ba443d798e882abdf22dd4786bb39fe1f032dd745dadd2540b0a954
Uploaded: 2024-06-25 09:11:19 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: lmdiag
Version: 0.4.1
Summary: Diagnostic Plots for Lineare Regression Models. Similar to plot.lm in R.
Author-Email: dynobo <dynobo[at]mailbox.org>
Project-Url: Homepage, http://github.com/dynobo/lmdiag
License: MIT
Keywords: lm,lineare,regression,diagnostics,plot,chart,linearmodels,statsmodels,scikit-learn
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.9
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: build; extra == "dev"
Requires-Dist: linearmodels; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: notebook; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: scikit-learn; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3034 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (70.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
lmdiag/__init__.py sha256=BOgW8xXRAC7Hm_BpPGWoDdGEQmZ83wzcI1fJM_965uc 188
lmdiag/help.py sha256=kDBdYhghJuNZEHUtRdX4ntg1cm40zWahkUFothUc7oU 5686
lmdiag/plots.py sha256=GbTw_0JiXovEfdd600zFyXU3_GGwbYpEKlpnTr6O6xE 10807
lmdiag/style.py sha256=x2gCMp9ziAX0rlxIYzrwfwWiiN8EVxhAfeIaJ2o31F4 2418
lmdiag/statistics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
lmdiag/statistics/base.py sha256=KJgToepNjRsMFEDKD_SQeTN03V32l1tBRcVDg0ms9aw 2141
lmdiag/statistics/linearmodels_stats.py sha256=G94DML1Fxv0lNI__k9X0EAEYxetVSfKw47HFGOz6RE0 1620
lmdiag/statistics/select.py sha256=1spgJQExPDPXVJXsn1zwpP3pEfyV_RtbJAgMOWAdQg8 2151
lmdiag/statistics/sklearn_stats.py sha256=y-yhY4GhkPOyv1_6LLUIn3ehyHcw3gchL19ZlK-u-GU 1886
lmdiag/statistics/statsmodels_stats.py sha256=JhPFNE3MsXTr_2irgi95YRJdbYTYI6HNwqYd1Ay_GUw 1513
lmdiag-0.4.1.dist-info/LICENSE sha256=nqihLe6hsjLWOYgeNbBUD4Z4MV68wnBTqdg1m9eK0EA 1056
lmdiag-0.4.1.dist-info/METADATA sha256=Ssj1STU7yuZVAQy4bKJvkzyhh-eBpN9cvQLX_rfdkWM 4260
lmdiag-0.4.1.dist-info/WHEEL sha256=cpQTJ5IWu9CdaPViMhC9YzF8gZuS5-vlfoFihTBC86A 91
lmdiag-0.4.1.dist-info/top_level.txt sha256=mH5nuk4uAgSZYeTTP-pbXI6XwZPPpVJ440oiX9q2gf4 7
lmdiag-0.4.1.dist-info/RECORD

top_level.txt

lmdiag