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README.md

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[![Coverage](https://codecov.io/gh/TuringLang/NestedSamplers.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/TuringLang/NestedSamplers.jl)
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[![LICENSE](https://img.shields.io/github/license/TuringLang/NestedSamplers.jl?color=yellow)](LICENSE)
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://TuringLang.github.io/NestedSamplers.jl/stable)
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[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://TuringLang.github.io/NestedSamplers.jl/dev)
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://chalk-lab.github.io/NestedSamplers.jl/stable)
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[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://chalk-lab.github.io/NestedSamplers.jl/dev)
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Implementations of single- and multi-ellipsoidal nested sampling algorithms in pure Julia. We implement the [AbstractMCMC.jl](https://github.com/TuringLang/AbstractMCMC.jl) interface, allowing straightforward sampling from a variety of statistical models.
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