Metadata-Version: 2.1
Name: Ekidna
Version: 0.0.6
Summary: Electrochemistry data analysis tools
Home-page: 
Author: OzymandiasTheDead
Author-email: jacob@ekidnasensing.com
License: MIT
Keywords: Ekidna
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
License-File: LICENSE.txt

This library contains functions and classes for analysis of, primarily, data collected from 
electrochemistry experiments. Various functions may be useful beyond the scope of electrochemistry.

Examples of tools include: baseline subtraction, pairplots, histograms, standard curve creators, smoothing, etc . . . 

The code is developed by researchers at Ekidna Sensing.



Change Log
===========
0.0.6 (June 29, 2023)
-------------------------
- Sixth Release

Notes:
------
Added a class called linear_std_curve

The class can be used to fit a linear model to data. The class goes beyond standard coefficient determination, as it also
determines estimation limits for inverse regression. Information such as smoothing, baseline subtraction, calibration procedures 
employed to process the data prior to fitting can also be stored.

The prediction band edges of the standard curve are also callable as methods within the object. See documentation for full list of methods
and attributes. 
