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        "author": "Andrew Straw and Laszlo Treszkai",
        "author_email": "laszlo.treszkai@gmail.com",
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        "description": "# BEST: Bayesian Estimation Supersedes the t-Test\n\nPython implementation of a Bayesian model to replace t-tests with Bayesian estimation,\nfollowing the idea described in the following publication:\n\n> John K. Kruschke. _Bayesian estimation supersedes the t test._\n> Journal of Experimental Psychology: General, 2013, v.142 (2), pp. 573-603. (doi: 10.1037/a0029146) \n\nThe package implements Bayesian estimation of the mean of one or two groups,\nand plotting functions for the posterior distributions of variables such as the effect size,\ngroup means and their difference.\n\n## Documentation ##\n\nSee the documentation for more information, at [best.readthedocs.io](https://best.readthedocs.io).\n\n## Requirements ##\n\n - Python \u2267 3.5.4\n - SciPy\n - [Matplotlib](http://matplotlib.org) (\u2267 3.0.0) for plotting\n - [PyMC3](https://github.com/pymc-devs/pymc)\n\n## Examples ##\n\nA complete analysis and plotting is done in just a few lines:\n\n```python\n>>> best_out = best.analyze_two(group1_data, group2_data)\n>>> fig = best.plot_all(best_out)\n>>> fig.savefig('best_plots.pdf')\n``` \nFor example, the two-group analysis in `examples/smart_drug.py` produces the following output:\n\n![smart_drug.png](examples/smart_drug.png)\n\nMore detailed analysis of the same data can be found in the Jupyter notebook `examples/Smart drug (comparison of two groups).ipynb`.\n\nAn example single-group analysis can be found in `examples/paired_samples.py`.\n\nThe [documentation](https://best.readthedocs.io) describes the API in detail.\n\n## Installation ##\n\nEnsure your Python version is sufficiently up-to-date (at least 3.5.4):\n\n```bash\n$ python --version\nPython 3.5.6\n```\n\nThen install with Pip:\n```bash\n$ pip install best\n```\n\n## Developer notes ##\n\n### Tests ###\n\nRunning the tests requires [pytest](https://docs.pytest.org/en/latest/index.html): \n\n```bash\n$ pytest tests\n```\n\nThe plotting tests only ensure that the `plot_all` function does not throw errors,\nand the plots need manual verification at `tests/data/plot_all_*.pdf`.\n\n### Documentation ###\n\nThe documentation can be built with Sphinx:\n\n```bash\n$ cd docs\n$ make html\n```\n\n\n",
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