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Updated hyperlinks in docs and version number
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README.md

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## Contributing
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All contributions are welcome; please read the [Guidelines for
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contributing](CONTRIBUTING.md) first.
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contributing](../CONTRIBUTING.md) first.
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We also have a [Code of Conduct](CODE_OF_CONDUCT.md) to foster an
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We also have a [Code of Conduct](../CODE_OF_CONDUCT.md) to foster an
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inclusive and productive space.
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### A wish list for new features
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If you have any specific comments and ideas for new features that you
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would like to share with us, please read the [Guidelines for
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contributing](CONTRIBUTING.md), create a new issue using Feature request
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template or create a new post in [our Google
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contributing](../CONTRIBUTING.md), create a new issue using Feature
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request template or create a new post in [our Google
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Group](https://groups.google.com/g/estimationstats).
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## Acknowledgements
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functions perform as expected.
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For detailed information, please refer to the [test
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folder](nbs/tests/README.md)
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folder](../nbs/tests/README.md)
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## DABEST in other languages
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dabest/__init__.py

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if not _NUMBA_COMPILED:
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precompile_all()
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__version__ = "2025.02.28"
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__version__ = "2025.03.14"

nbs/API/plotter.ipynb

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"id": "7355251f",
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"metadata": {},
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"source": [
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"For details on how to control the aesthetic of the generated estimation plot by modifying the **plot_kwargs**, please refer to [Controlling Plot Aesthetics](../tutorials/06-plot_aesthetics.ipynb)\n",
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"For details on how to control the aesthetic of the generated estimation plot by modifying the **plot_kwargs**, please refer to [Controlling Plot Aesthetics](../tutorials/09-plot_aesthetics.ipynb)\n",
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"\n",
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"- **effectsize_df**: A `dabest` `EffectSizeDataFrame` object.\n",
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"- **plot_kwargs**:\n",

nbs/blog/posts/robust-beautiful/robust-beautiful.ipynb

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"the original Gardner-Altman design. Here, the 95% CI is computed through\n",
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"parametric methods, and displayed as a vertical error bar.\n",
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"\n",
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"Read more about this technique at [bootstraps](03-bootstraps.ipynb). "
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"Read more about this technique at [bootstraps](../bootstraps/bootstraps.ipynb). \n"
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]
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},
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{

nbs/read_me.ipynb

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"source": [
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"## Contributing\n",
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"\n",
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"All contributions are welcome; please read the [Guidelines for contributing](CONTRIBUTING.md) first.\n",
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"All contributions are welcome; please read the [Guidelines for contributing](../CONTRIBUTING.md) first.\n",
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"\n",
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"We also have a [Code of Conduct](CODE_OF_CONDUCT.md) to foster an inclusive and productive space.\n"
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"We also have a [Code of Conduct](../CODE_OF_CONDUCT.md) to foster an inclusive and productive space.\n"
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]
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},
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{
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"metadata": {},
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"source": [
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"### A wish list for new features\n",
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"If you have any specific comments and ideas for new features that you would like to share with us, please read the [Guidelines for contributing](CONTRIBUTING.md), create a new issue using Feature request template or create a new post in [our Google Group](https://groups.google.com/g/estimationstats)."
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"If you have any specific comments and ideas for new features that you would like to share with us, please read the [Guidelines for contributing](../CONTRIBUTING.md), create a new issue using Feature request template or create a new post in [our Google Group](https://groups.google.com/g/estimationstats)."
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]
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},
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{
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"\n",
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"The test suite ensures that the bootstrapping functions and the plotting functions perform as expected.\n",
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"\n",
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"For detailed information, please refer to the [test folder](nbs/tests/README.md)\n",
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"For detailed information, please refer to the [test folder](../nbs/tests/README.md)\n",
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"\n",
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"## DABEST in other languages\n",
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"\n",

settings.ini

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### Python library ###
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repo = DABEST-python
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lib_name = dabest
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version = 2025.02.28
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version = 2025.03.14
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min_python = 3.10
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license = apache2
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user = acclab
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requirements = fastcore pandas~=2.2.3 numpy~=2.1.0 matplotlib~=3.10.0 seaborn~=0.13.2 scipy~=1.15.2 numba~=0.61.0 datetime statsmodels lqrt tqdm
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; dev_requirements = pytest~=7.2.1 pytest-mpl~=0.16.1
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dev_requirements = pytest~=8.3.4 pytest-mpl~=0.17.0
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### Optional ###

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