coloredICA: Implementation of Colored Independent Component Analysis and Spatial Colored Independent Component Analysis
Version 1.0.0

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.

AuthorLee, S., Shen, H., Truong, Y. and Zanini, P.
Date of publication2015-02-24 11:01:51
MaintainerPaolo Zanini <paolo.zanini@polimi.it>
LicenseGPL (>= 2)
Version1.0.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("coloredICA")

Popular man pages

amari_distance: Amari error
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
See all...

All man pages Function index File listing

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

Functions

amari_distance Man page Source code
cICA Man page Source code
grad Man page Source code
hess Man page Source code
kern Man page Source code
locmulti Man page Source code
rerow Man page Source code
scICA Man page Source code

Files

NAMESPACE
R
R/hess.R
R/grad.R
R/kern.R
R/cICA.R
R/rerow.R
R/locmulti.R
R/scICA.R
R/amari_distance.R
MD5
DESCRIPTION
man
man/hess.Rd
man/amari_distance.Rd
man/cICA.Rd
man/locmulti.Rd
man/rerow.Rd
man/grad.Rd
man/scICA.Rd
man/kern.Rd
coloredICA documentation built on May 19, 2017, 11:47 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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