SPI Descriptions
Descriptions of each method.
Last updated
Descriptions of each method.
Last updated
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The documentation accompanying the toolkit, including the tables and descriptions of each SPI, represent the features and functionality of the original pyspi library as detailed in the Supplementary Material of the original pyspi paper. While we strive to keep our documentation as current and comprehensive as possible, our library of SPIs may undergo frequent updates and enhancements to align with the latest advancements and user feedback.
Pairwise Distance
Covariance
Cross
Correlation
Kendall's Rank Correlation Coefficient
Precision
Spearman's Rank Correlation Coefficient
Barycenter
Cross Distance
Correlation
Cross Multiscale Graph Correlation
Distance Correlation
Dynamic Time
Warping
Gromov-Wasserstein Distance
Heller-Heller-Gorfine Independence Criterion
Hilbert-Schmidt Independence Criterion
Longest Common Subsequence
Multiscale Graph Correlation
Soft Dynamic Time Warping
Additive Noise Model
Conditional Distribution Similarity Fit
Convergent
Cross-Mapping
Information-Geometric Causal Inference
Regression Error-Based Causal Inference
Causally Conditioned Entropy
Conditional Entropy
Directed Information
Granger Causality
Integrated Information
Joint Entropy
Mutual Information
Stochastic Interaction
Transfer Entropy
Time-lagged Mutual Information
Coherence Magnitude
Coherence Phase
Directed
Coherence
Directed Transfer
Function
Group Delay
Imaginary Coherence
Pairwise Phase Consistency
Partial Directed
Coherence
Phase Lag
Index
Phase Locking
Value
Phase Slope
Index
Spectral Granger
Causality
Cointegration
Gaussian Process
Model Fit
Linear Model Fit
Power Envelope
Correlation