Metadata-Version: 2.4
Name: pyequate
Version: 0.1.0
Summary: Score equating methods for testing
Author-email: Laura Lambert <laycocla@jmu.edu>, Yu Bao <bao2yx@jmu.edu>
License-Expression: GPL-3.0-or-later
Project-URL: Homepage, https://github.com/lauralambert99/py-equate
Project-URL: Issues, https://github.com/lauralambert99/py-equate/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: statsmodels
Dynamic: license-file

# pyequate

pyequate is an open-source package containing different test score equating methods in one location.  It includes methods for random groups, common-item/non-equivalent groups, and IRT equating.  The version on GitHub will be the most current, with updates pushed to pyPI.

## Areas Currently Under Development

- Standard errors of equating for common-item/non-equivalent groups methods
- pre- and post-smoothing for equipercentile equating

## Required Packages

pyequate requires `NumPy`, `Pandas`, `SciPy`, and `Statsmodels`.

## Public Datasets

A number of publicly available datasets are included within this GitHub page to allow testing of functions.  
