hwetests 0.6.5

A python package containing two statistical tests for HWE testing: Gibbs Sampling test and a modified Chi Squared test that handles ambiguity

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hwetests

The Hardy-Weinberg Equilibrium (HWE) assumption is essential to many population genetics models, which assumes that allele pairs from a given population are random. An HWE test needs to test whether the pairing are random or not.

Our python package contains three statistical tests for HWE testing:

• ASTA
• UMAT
• UMAT with sampling

Both ASTA and UMAT with sampling assume ambiguity in the allele pairing while UMAT does not assume ambiguity.

Table of Contents

• Installation

• Usage

• Credits

• License

Installation

Use the package manager pip to install hwetests.

pip install hwetests

Usage

Here we show how to use our package with simulated data.

Create data

ASTA

from hwetests import asta

# returns 'words'
foobar.pluralize('word')

# returns 'geese'
foobar.pluralize('goose')

# returns 'phenomenon'
foobar.singularize('phenomena')

Tests

Go the extra mile and write tests for your application. Then provide examples on how to run them here.

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License

asasda