bootstrap-contrast

Calculation and Visualization of Confidence Intervals and Effect Sizes for Python.


Keywords
bootstrapping-statistics, matplotlib, numpy, pandas, python, seaborn, statistics
License
MIT
Install
pip install bootstrap-contrast==0.331

Documentation

bootstrap-contrast Build Status

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.