ica.R.par

0th

Percentile

R code for FastICA using a parallel scheme

R code for FastICA using a parallel scheme in which the components are estimated simultaneously. This function is called by the fastICA function.

Keywords
utilities
Usage
ica.R.par(X, n.comp, tol, fun, alpha, maxit, verbose, w.init)
Arguments
X

data matrix.

n.comp

number of components to be extracted.

tol

a positive scalar giving the tolerance at which the un-mixing matrix is considered to have converged.

fun

the functional form of the \(G\) function used in the approximation to negentropy.

alpha

constant in range [1,2] used in approximation to negentropy when fun == "logcosh".

maxit

maximum number of iterations to perform.

verbose

a logical value indicating the level of output as the algorithm runs.

w.init

Initial value of un-mixing matrix.

Details

See the help on fastICA for details.

Value

The estimated un-mixing matrix W.

See Also

fastICA, ica.R.def

Aliases
  • ica.R.par
Documentation reproduced from package fastICA, version 1.2-1, License: GPL-2 | GPL-3

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