Learning Causal or Non-Causal Graphical Models Using Information Theory

Documentation for package ‘miic’ version 1.5.3

cosmicCancer	Genomic and ploidy alterations in breast tumors
cosmicCancer_stateOrder	Genomic and ploidy alterations in breast tumors
discretizeMDL	Discretize a real valued distribution
discretizeMutual	Iterative dynamic programming for (conditional) mutual information through optimized discretization.
getIgraph	Igraph plotting function for miic
hematoData	Early blood development: single cell binary gene expression data
miic	MIIC, causal network learning algorithm including latent variables
miic.export	Export miic result to different plotting methods
miic.write.network.cytoscape	GraphML converting function for miic graph
miic.write.style.cytoscape	Style writing function for the miic network
ohno	Tetraploidization in vertebrate evolution
ohno_stateOrder	Tetraploidization in vertebrate evolution
plot.miic	Basic plot function of a miic network inference result