Description Usage Arguments Value

The function sgccak() is called by sgcca() and does not have to be used by the user. sgccak() enables the computation of SGCCA block components, outer weight vectors, etc., for each block and each dimension.

1 2 |

`A` |
A list that contains the |

`C` |
A design matrix that describes the relationships between blocks. |

`c1` |
A
with |

`scheme` |
Either "horst", "factorial" or "centroid" (default: centroid). |

`scale` |
If scale = TRUE, each block is standardized to zero means and unit variances (default: TRUE). |

`tol` |
Stopping value for convergence. |

`init` |
Mode of initialization of the SGCCA algorithm. Either by Singular Value Decompostion ("svd") or random ("random") (default: "svd"). |

`bias` |
Logical value for biaised ( |

`verbose` |
Reports progress while computing, if verbose = TRUE (default: TRUE). |

`Y` |
A |

`a` |
A list of |

`crit` |
The values of the objective function at each iteration of the iterative procedure. |

`converg` |
Speed of convergence of the alogrithm to reach the tolerance. |

`AVE` |
Indicators of model quality based on the Average Variance Explained (AVE): AVE(for one block), AVE(outer model), AVE(inner model). |

`C` |
A design matrix that describes the relationships between blocks (user specified). |

`scheme` |
The scheme chosen by the user (user specified). |

RGCCA documentation built on May 30, 2017, 7:22 a.m.

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