A dynamic nested sampling package for computing Bayesian posteriors and evidences.
Project description
A dynamic nested sampling package for computing Bayesian posteriors and evidences. Pure Python. MIT license. Beta release.
Documentation
Documentation can be found here. Warning: The documentation is currently somewhat out of date.
Installation
dynesty can be installed through pip via
pip install dynesty
It can also be installed by running
python setup.py install
from inside the repository.
Demos
Several Jupyter notebooks that demonstrate most of the available features of the code can be found here.
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