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DOC: Update readme badge and fix grammatical errors.
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README.md

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@@ -11,7 +11,7 @@ Efficiently generate samples from the Polya-Gamma distribution using a NumPy/Sci
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## Why?
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If you are reading this, you probably have already used the [pypolyagamma][9] package before. It is
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If you are reading this, you probably already used the [pypolyagamma][9] package before. It is
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a great package that I have also used in the past, however I encountered several issues:
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- Generating an array of samples is awkward because it requires using a list comprehension
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if parameter values are scalars or have pre-allocated arrays of a known size to pass for both
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```shell
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$ conda install -c conda-forge polyagamma
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```
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Alternatively, once can install from source with the following shell commands:
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Alternatively, one can install from source with the following shell commands:
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```shell
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$ git clone https://github.com/zoj613/polyagamma.git
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$ cd polyagamma/
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[4]: https://img.shields.io/pypi/wheel/polyagamma?style=flat-square
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[5]: https://img.shields.io/github/v/release/zoj613/polyagamma?include_prereleases&label=pypi&style=flat-square
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[6]: https://img.shields.io/pypi/l/polyagamma?style=flat-square
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[7]: https://img.shields.io/github/workflow/status/zoj613/polyagamma/CI/main?style=flat-square
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[7]: https://img.shields.io/github/actions/workflow/status/zoj613/polyagamma/build-and-test.yml?branch=main&style=flat-square
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[8]: https://img.shields.io/codecov/c/github/zoj613/polyagamma?style=flat-square
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[9]: https://github.com/slinderman/pypolyagamma
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[10]: https://github.com/python-poetry/poetry

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