R: ICA-Based Matrix/Tensor Decomposition

# ICA-Based Matrix/Tensor Decomposition

## Documentation for package ‘iTensor’ version 1.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

CorrIndex | CorrIndex
GroupICA | Group Independent Component Analysis (GroupICA)
ICA | Independent Component Analysis (Classic Methods)
ICA2 | Independent Component Analysis (Modern Methods)
MICA | Multimodal independent component analysis
MultilinearICA | Multilinear independent component analysis
toyModel | Toy model data for using ICA, MICA, and GroupICA There are 7 types of simulation: ICA_Type1: Time-independent sub-gaussian data ICA_Type2: Time-independent super-gaussian data ICA_Type3: Data mixed with signals having no time dependence and different kurtosis ICA_Type4: Time-dependent data ICA_Type5: Toydata to model IPCA in N < P systems MICA: Two time-serices data to model MICA GroupICA: Toydata to model GroupICA