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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

pip 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 use this package in your research, you should cite both of these references:

Please also consider citing 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 and contributions are very welcome! Please see CONTRIBUTING.md for more details.

Metadata

Release files for dynesty 3.2.0

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 3.2.0
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dynesty-3.2.0.tar.gz 30.7 MB Without provenance Details for dynesty-3.2.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dynesty 3.2.0
File Interpreter ABI Platform Actions
dynesty-3.2.0-py3-none-any.whl Python 3 none any Details for dynesty-3.2.0-py3-none-any.whl

Total release size: 30.8 MB

Release files / dynesty-3.2.0.tar.gz

Download URL dynesty-3.2.0.tar.gz
Size 30.7 MB
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Release files / dynesty-3.2.0-py3-none-any.whl

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Size 110.8 kB
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Security for dynesty 3.2.0

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3.2.0 This release

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