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Python module to produce bootstrapped confidence intervals and effect sizes.

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THIS PACKAGE HAS BEEN DEPRECATED (JANUARY 2018)

Please use the DABEST-python package instead. bootstrap-contrast will no longer be supported.

About

Python module to produced bootstrapped confidence intervals and effect sizes.

Python 3.6 is strongly recommended, although this has been tested with Python 2.7 and Python 3.5.

In addition, the following packages are also required: matplotlib (2.0.2), seaborn (0.8), numpy (1.13.1), scipy (0.19.1), and pandas (0.20.3). To obtain these package dependencies easily, it is highly recommended to download the Anaconda distribution of Python from https://www.continuum.io/downloads.

Installation

You can install this package via pip or conda. Thus, you can run either

pip install --upgrade bootstrap_contrast

or

conda config --add channels conda-forge
conda install bootstrap_contrast

Usage

Please refer to the tutorial.

About

Python module to produce bootstrapped confidence intervals and effect sizes.

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