MDMICA provides independent component analysis methods based on mutual dependence measures.
The two main parts are: - applying mutual dependence measures - initializing local optimization methods
The mutual dependence measures include: - distance-based energy statistics - asymmetric measure based on distance covariance - symmectric measure based on distance covariance - simplified complete measure based on incomplete V-statistics - kernel-based maximum mean discrepancies - d-variable Hilbert−Schmidt independence criterion based on Hilbert−Schmidt independence criterion
The initialization methods include: - Latin hypercube sampling - Bayesian optimization
# Install the released version from CRAN
install.packages("MDMICA")
# Or the development version from GitHub:
# install.packages("MDMICA")
devtools::install_github("zejin/MDMICA")
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