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This is our first foray into distributing and managing code through GitHub after previously doing it manually. Over time we hope to develop this into a quality library for those interested in nonlinear analysis of time series data.

Release Notes 2020/09/28

The toolbox has undergone some major organizational revisions since coming under the perview of the Nonlinear Analysis Core, part of the Center for Human Movement Variability at the University of Nebraska at Omaha. Principally scripts and functions have been renamed so as to be sorted alphabetically. Timestamps have also been added to the scripts and functions to help keep a version history. Various scripts have undergone optimization to speed them up as well as other changes and additions. Please see the comments in the individual scripts for more details on these changes.

Methods we have added include:

1. a second Average Mutual Information method called AMI_Thomas
2. a benchmark spreadsheet with runtime information called Benchmark
3. a "library" script that can be used to create various chaotic time series called ChaosLibrary
4. a Detrended Fluctuation Analysis (DFA) script
5. an Approximate Entropy script
6. a Cross Approximate Entropy script
7. a method for calculating Lyapunov Exponents using the method published by Rosenstein
8. a method for performing Recurrance Quantification Analsysis
9. Two methods used in calculating a Pseudo Periodic surrogate time series
10. a method for calculating surrogate time series based on the methods published by Thieler

This is the Nonlinear Analysis Cores first implementation of GitHub and MATLAB. We hope the integration with increase our ability to deliver useful and quality code to our users.