Wheelodex » Projects » bmiselect

bmiselect

View on PyPI — Reverse Dependencies (0)

0.0.9 bmiselect-0.0.9-py3-none-any.whl

Wheel Details

Project: bmiselect
Version: 0.0.9
Filename: bmiselect-0.0.9-py3-none-any.whl
Download: [link]
Size: 28268
MD5: c9726382ec747d14239b7fd3e92fe5b4
SHA256: ba5223162e5a8d157f57c62e046a3691954ff2b0347e4f62d907eaee0d2e789c
Uploaded: 2022-11-15 14:01:28 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: bmiselect
Version: 0.0.9
Summary: Bayesian MI-LASSO for variable selection on multiply-imputed data.
Author: Jungang Zou
Author-Email: jungang.zou[at]gmail.com
Home-Page: https://github.com/zjg540066169/Bmiselect
Project-Url: Code, https://github.com/zjg540066169/Bmiselect
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.7.*
Requires-Dist: pymc3 (>=3.11.5)
Requires-Dist: theano-pymc (>=1.1.2)
Requires-Dist: mkl (>=2.4.0)
Requires-Dist: mkl-service (>=2.4.0)
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: pandas
Requires-Dist: seaborn
Requires-Dist: arviz
Requires-Dist: xarray
Requires-Dist: statsmodels
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 10480 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
bmiselect/__init__.py sha256=QPF9MdyNN6j0jOT6NdzTcl29D3lQTOiy2S1VrHNo7Ys 615
bmiselect/main.py sha256=J8m0PKT6RliMf4ZzGaCr3ZA_r8GH7KwjqVO774f5jyY 5146
bmiselect/models/ARD.py sha256=NqSyg-NqoCXDNLQFX2KZ_t_HO4rom52O2PDgKbGLveQ 3690
bmiselect/models/Bayesian_MI_LASSO.py sha256=n7OS_AVmzLCci_hMPfFlKgFans-0e-QNfhF1Ls-Euz4 6959
bmiselect/models/Horseshoe.py sha256=sDf39KMOgADqYQoP3sOOYN2rhTeBXNIwK94wrWJqXhs 3705
bmiselect/models/Laplace.py sha256=nT_R_wPSK6FBdLpqIckKjifnY4WNkvTY-l2XnSOCV5E 4000
bmiselect/models/Ridge.py sha256=4N9cQezyNuW7ATB1TAMABrjPiJONXcf6pEvKa7SG4Yc 3623
bmiselect/models/Spike_laplace.py sha256=CH_HYd1ldpWE6qK9pxk2BZ-77OpN2Pg3VHkGMie1A2c 3980
bmiselect/models/Spike_ridge.py sha256=cRWo0le2usYvVRQuF8imb7V44nM_CtP9JlfO_fJXhXA 3888
bmiselect/models/__init__.py sha256=M0NZuQ7-112l8K2h1eayVvSmvQrufrOcD5AYKgIf_Is 1
bmiselect/utils/__init__.py sha256=M0NZuQ7-112l8K2h1eayVvSmvQrufrOcD5AYKgIf_Is 1
bmiselect/utils/evaluation.py sha256=1BtFsSviLwFcsw_eKMq73rD5s7bJ_sOH0W9eFQNz1c0 6024
bmiselect/utils/genDS_MAR.py sha256=fdL7IEKWraFyFgwsjP2PbBXVYGzV7X1ahItCwg4LGmU 6566
bmiselect/utils/genDS_MCAR.py sha256=nh7b_jdjWEVJiq4gViI_moRG3V6Hh85r7ufGCfVTaM4 4959
bmiselect-0.0.9.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
bmiselect-0.0.9.dist-info/METADATA sha256=Js8l6_tb9yv-UJOGe_iSYEXBG77sPmiX-jWc4FDRf4g 11711
bmiselect-0.0.9.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
bmiselect-0.0.9.dist-info/top_level.txt sha256=qXPOoooHGmxnxr-hcDj_MVHj__c00Honbek_q65Ydak 10
bmiselect-0.0.9.dist-info/RECORD — —

top_level.txt

bmiselect