Learning Causal or Non-Causal Graphical Models Using Information Theory

Documentation for package ‘miic’ version 2.0.3

computeMutualInfo	Compute (conditional) mutual information
computeThreePointInfo	Compute (conditional) three-point information
cosmicCancer	Genomic and ploidy alterations in breast tumors
cosmicCancer_stateOrder	Genomic and ploidy alterations in breast tumors
covidCases	Covid cases
discretizeMDL	Discretize a real valued distribution
discretizeMutual	Iterative dynamic programming for (conditional) mutual information through optimized discretization.
estimateTemporalDynamic	Estimation of the temporal causal discovery parameters
export	Export miic result for plotting (with igraph)
hematoData	Early blood development: single cell binary gene expression data
miic	MIIC, causal network learning algorithm including latent variables
plot.miic	Basic plot function of a miic network inference result
plot.tmiic	Basic plot function of a temporal miic (tmiic) network inference result
writeCytoscapeNetwork	GraphML converting function for miic graph
writeCytoscapeStyle	Style writing function for the miic network