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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Grim Test
message: >-
The test makes use of a simple numerical property to
identify if the mean of integer values has been correctly
calculated.
type: software
authors:
- given-names: Peter Johnathan
family-names: Houghton
email: pete@investigatingsoftware.co.uk
repository-code: 'https://github.com/phoughton/grim_test'
repository-artifact: 'https://pypi.org/project/grim/'
abstract: >-
This package is based on the GRIM (Granularity-Related
Inconsistency of Means) test first highlighted by Heathers
& Brown in their 2016 paper.
The test makes use of a simple numerical property to
identify if the mean of integer values has been correctly
calculated.
You don't need the original integer values. You just need
the mean and the number (n) of items.
keywords:
- grim
- statistics
- python
- mean
- average
license: MIT