Skip to main content
  • Home
  • Development
  • Documentation
  • Donate
  • Operational login
  • Browse the archive

swh logo
SoftwareHeritage
Software
Heritage
Archive
Features
  • Search

  • Downloads

  • Save code now

  • Add forge now

  • Help

Revision 5fd7bb86220130a9ccbaba5e6858bee4f5579bec authored by Wesley Tansey on 25 August 2015, 18:27:05 UTC, committed by Wesley Tansey on 25 August 2015, 18:27:05 UTC
Added empirical null. Added graph-fused lasso solver for arbitrary graphs.
1 parent 5c3b093
  • Files
  • Changes
  • 88122ac
  • /
  • setup.py
Raw File Download

To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

  • revision
  • directory
  • content
revision badge
swh:1:rev:5fd7bb86220130a9ccbaba5e6858bee4f5579bec
directory badge
swh:1:dir:88122ac39a20c1de7b2f2b41710602f821ff3f32
content badge
swh:1:cnt:17ee86205efb895352f50299ab69e9e3d0444896

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

  • revision
  • directory
  • content
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
setup.py
from setuptools import setup, find_packages  # Always prefer setuptools over distutils
from codecs import open  # To use a consistent encoding
from os import path

here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f:
    long_description = f.read()

setup(
    name='smoothfdr',
    version='0.9.1',
    description='False discovery rate smoothing',
    long_description=long_description,
    url='https://github.com/tansey/smoothfdr',
    author='Wesley Tansey',
    author_email='tansey@cs.utexas.edu',
    license='MIT',

    classifiers=[
        # Will be upgraded to 4 - Beta after full fMRI debugging.
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Science/Research',
        'Topic :: Scientific/Engineering',
        'License :: OSI Approved :: MIT License',
        'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
    ],
    keywords='statistics biostatistics fdr hypothesis machinelearning',

    packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
    install_requires=['numpy', 'scipy', 'matplotlib', 'pygfl'],
    package_data={
        'smoothfdr': [],
    },
    entry_points={
        'console_scripts': [
            'smoothfdr=smoothfdr:main',
            'neuropre=neuropre:main',
            'neuropost=neuropost:main',
        ],
    },
)
The diff you're trying to view is too large. Only the first 1000 changed files have been loaded.
Showing with 0 additions and 0 deletions (0 / 0 diffs computed)
swh spinner

Computing file changes ...

back to top

Software Heritage — Copyright (C) 2015–2025, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Content policy— Contact— JavaScript license information— Web API