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[![PyPI version](https://badge.fury.io/py/effectsize.svg)][pypi]
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[![GitHub](https://img.shields.io/github/license/nbashir97/effectsize)][license]
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`effectsize` is the first comprehensive Python package for computing effect sizes (ESs), also known as standardized differences. The package implements the methodology outlined by [Yang and Dalton, 2012][yang2012] and it provides complex functionality, such as the ability to deal with skewed variables, multinomial categories, and weighted statistics.
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`effectsize` is a comprehensive Python package for computing effect sizes (ESs), also known as standardized differences. The package implements the methodology outlined by [Yang and Dalton, 2012][yang2012] and it provides complex functionality, such as the ability to deal with skewed variables, multinomial categories, and weighted statistics.
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## Prerequisites
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