Description Usage Arguments Value

The assumption to use this function is that the network represented by a matrix is symetric and without any connection the node and itself.

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`fun` |
function that will calculate the edge weight between 2 nodes |

`fun.prefix` |
used to store low-level information on network as it can become to large to be stored in memory |

`xdata` |
calculate correlation matrix on each column |

`cutoff` |
positive value that determines a cutoff value |

`consider.unweighted` |
consider all edges as 1 if they are greater than 0 |

`chunks` |
calculate function at batches of this value (default is 1000) |

`force.recalc.degree` |
force recalculation of penalty weights (but not the network), instead of going to cache |

`force.recalc.network` |
force recalculation of network and penalty weights, instead of going to cache |

`n.cores` |
number of cores to be used |

`...` |
extra parameters for fun |

a vector of the degrees

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