ica.R.par: R code for FastICA using a parallel scheme

Description Usage Arguments Details Value Author(s) See Also

View source: R/fastICA.R

Description

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

Usage

1
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.

Author(s)

J L Marchini and C Heaton

See Also

fastICA, ica.R.def


fastICA documentation built on June 20, 2017, 9:14 a.m.