Poisson Approximation for LOcal Motif Assessment

Documentation for package ‘paloma’ version 1.2.2

paloma-package	Discovering motifs in networks which are locally over-represented.
computeModelMean	Computes the expected occurrence number of a motif
countAllMotifs	Counts the number of all motifs having k nodes in a given graph
example	Graph example for package tests
getAllExtensions	Searchs all occurrences and extensions in a network.
getCanonic	Compute the canonical adjacency matrix
getExceptional	Seeks for exceptional motifs under a statistical block model.
getExtensions	Search occurrences and extensions in a network for a given motif
paloma	Discovering motifs in networks which are locally over-represented.
plot.paloma.exceptional	Plots the over-represented motif list
print.paloma.exceptional	Prints the over-represented motifs list
print.paloma.occurrences	Prints the motifs occurrences and their extensions
yeast	Graph example for package tests