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- fix license
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- update URL
- update readme
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a-earthperson committed Feb 11, 2024
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4 changes: 2 additions & 2 deletions README.md
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# InverseCanopy

This is a guide on how to use the `inverse-canopy` package. This package helps you back-fit the probability
distributions of conditional/functional events in an event tree as long as the end-state probabilities are known.
Back-fit conditional/functional event probability distributions in an event tree to match target end-state
frequencies.

## How to Use

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8 changes: 4 additions & 4 deletions setup.py
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setup(
name='inverse-canopy',
url='https://git@git.space.openpra.org/openpra/inverse-canopy.git',
version='0.0.4',
url='https://openpra.org',
version='0.0.5',
author='Arjun Earthperson',
author_email='arjun@openpra.org',
license='AGPL3',
license='AGPL-3.0',
description='',
long_description_content_type='text/markdown',
long_description=README,
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classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)',
'Programming Language :: Python :: 3.8',
],
packages=['inverse_canopy'],
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