Resources
This page (in development) shares community resources and tutorials for using non-linear dynamical methods on extensive time series data (mostly in R but some Python and Matlab resources).
**Tutorials and tools to help with Recurrence Quantification Analysis (RQA) and Cross-RQA (CRQA) in R. Currently includes tutorials on continuous and categorical RQA and CRQA, along with tools for plotting.
**Data sets, publications, software, and analysis code: visit link here
**Fred Hasselman install_github(“FredHasselman/casnet”)
**Courses on Complexity Methods for Behavioural Science (complexity-methods.github.io), including R code and more.
**Wavelet Analysis R Library(biwavelet) # cross-wavelet, wavelet coherence, wavelet clustering
Python Tutorial: pip install pycwt
##Fractal Analysis R GitHub: Fractal Regression library(fractalRegression) library(fractal) # by Constantine and Percival (2017)
Python pip install fractal-analysis
pip install porespy # specific for box counting