# ica.R.par

From fastICA v1.2-0
by Brian Ripley

##### 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

*Documentation reproduced from package fastICA, version 1.2-0, License: GPL-2 | GPL-3*

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