pyABC

Massively parallel, distributed and scalable ABC-SMC (Approximate Bayesian Computation - Sequential Monte Carlo) for parameter estimation of complex stochastic models. Implemented in Python with support of the R language.

Documentation: https://pyabc.readthedocs.io
Contact: https://pyabc.readthedocs.io/en/latest/about.html
Source: https://github.com/icb-dcm/pyabc
Bug reports: https://github.com/icb-dcm/pyabc/issues

Examples

Many examples are available as Jupyter Notebooks in the examples directory and also for download and for online inspection in the example section of the documentation.

Name		Name	Last commit message	Last commit date
Latest commit History 1,094 Commits
doc		doc
pyabc		pyabc
test		test
test_nondeterministic		test_nondeterministic
test_performance		test_performance
.environment.yml		.environment.yml
.gitattributes		.gitattributes
.gitignore		.gitignore
.readthedocs.yml		.readthedocs.yml
.rtd_pip_reqs.txt		.rtd_pip_reqs.txt
.travis.yml		.travis.yml
.travis_pip_reqs.txt		.travis_pip_reqs.txt
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE.txt		LICENSE.txt
MANIFEST.in		MANIFEST.in
README.md		README.md
flake8_exclude.txt		flake8_exclude.txt
run_flake8.sh		run_flake8.sh
setup.cfg		setup.cfg
setup.py		setup.py

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DaneseAnna/pyABC

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