Metadata-Version: 2.1
Name: SURPY
Version: 2.1.0
Summary: SURPY python for surgical data analysis
Home-page: https://github.com/sasurasa/
Author: Surasak Sangkhathat
Author-email: s.sangkhathat@gmail.com
License: Prince of Songkla University
Description-Content-Type: text/markdown

SURPY (เซอ-ปี้) is a Python module built by a group of surgical researchers with a primary aim to be used as a command line interface (CLI) tool for outcome data analysis, beginning from taking input files in .xlsx format, aggregate the basic statistics and basic hypothesis testing for association between a variable and a defined outcome. The following table describes packages within the module. SURPY and related packages are available from https://github.com/sasurasa/soda_ep1. The package uses Pandas, Numpy, Scipy, sklearn, lifelines, statsmodels and Matplotlob as base packages.
