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dynesty

dynesty in action

A Dynamic Nested Sampling package for computing Bayesian posteriors and evidences. Pure Python. MIT license.

Documentation

Documentation can be found here.

Installation

The most stable release of dynesty can be installed through pip via

pip install dynesty

The current (less stable) development version can 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.

Attribution

If you find the package useful in your research, please cite at least both of these references:

and ideally also papers describing the underlying methods (see the documentation for more details)

Reporting issues

If you want to report issues, or have questions, please do that on github.

Contributing

Patches/contributions are welcome! Please see CONTRIBUTING.md for more details.

Metadata

Release files for dynesty 2.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dynesty 2.0.2
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dynesty-2.0.2.tar.gz 98.9 kB Without provenance Details for dynesty-2.0.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dynesty 2.0.2
File Interpreter ABI Platform Actions
dynesty-2.0.2-py2.py3-none-any.whl Python 3, Python 2 none any Details for dynesty-2.0.2-py2.py3-none-any.whl

Total release size: 201.5 kB

Release files / dynesty-2.0.2.tar.gz

Download URL dynesty-2.0.2.tar.gz
Size 98.9 kB
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Release files / dynesty-2.0.2-py2.py3-none-any.whl

Download URL dynesty-2.0.2-py2.py3-none-any.whl
Size 102.6 kB
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Uploaded via twine/4.0.1 CPython/3.8.10

Security for dynesty 2.0.2

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2.0.2 This release

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