Description Usage Arguments Details Value Author(s) See Also

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

1 | ```
ica.R.par(X, n.comp, tol, fun, alpha, maxit, verbose, w.init)
``` |

`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 |

`alpha` |
constant in range [1,2] used in approximation to
negentropy when |

`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. |

See the help on `fastICA`

for details.

The estimated un-mixing matrix W.

J L Marchini and C Heaton

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