coloredICA: Implementation of Colored Independent Component Analysis and Spatial Colored Independent Component Analysis

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It implements colored Independent Component Analysis (Lee et al., 2011) and spatial colored Independent Component Analysis (Shen et al., 2014). They are two algorithms to perform ICA when sources are assumed to be temporal or spatial stochastic processes, respectively.

Author
Lee, S., Shen, H., Truong, Y. and Zanini, P.
Date of publication
2015-02-24 11:01:51
Maintainer
Paolo Zanini <paolo.zanini@polimi.it>
License
GPL (>= 2)
Version
1.0.0

View on CRAN

Man pages

amari_distance
Amari error
cICA
colored Independent Component Analysis
grad
Gradient
hess
Hessian
kern
Kernel evaluation
locmulti
Local polynomial spectral density estimation
rerow
Standardization of a matrix reordering the rows
scICA
spatial colored Independent Component Analysis

Files in this package

coloredICA
coloredICA/NAMESPACE
coloredICA/R
coloredICA/R/hess.R
coloredICA/R/grad.R
coloredICA/R/kern.R
coloredICA/R/cICA.R
coloredICA/R/rerow.R
coloredICA/R/locmulti.R
coloredICA/R/scICA.R
coloredICA/R/amari_distance.R
coloredICA/MD5
coloredICA/DESCRIPTION
coloredICA/man
coloredICA/man/hess.Rd
coloredICA/man/amari_distance.Rd
coloredICA/man/cICA.Rd
coloredICA/man/locmulti.Rd
coloredICA/man/rerow.Rd
coloredICA/man/grad.Rd
coloredICA/man/scICA.Rd
coloredICA/man/kern.Rd