Description Usage Arguments Value Examples

Function `diffuse_mc`

has an implemented parallelisation of the
Monte Carlo trials for diffusion in a network.
The input scores are assumed to be sparse and are
internally sparsified, so very dense scores
migth take time with current implementation.

1 2 3 4 5 6 7 8 9 10 | ```
diffuse_mc(
graph,
scores,
n.perm = 10000,
sample.prob = NULL,
seed = 1,
oneminusHeatRank = TRUE,
K = NULL,
...
)
``` |

`graph` |
igraph object |

`scores` |
Recursive list, can have either binary or quantitative scores |

`n.perm` |
Numeric, number of permutations |

`sample.prob` |
Numeric, probabilities (needn't be scaled) to permute the
input. This is passed to |

`seed` |
Numeric, seed for random number generator |

`oneminusHeatRank` |
Logical, should |

`K` |
Kernel matrix (if precomputed). If |

`...` |
currently ignored arguments |

A list containing matrices of heatrank scores

1 2 3 4 5 6 |

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