Man pages for miic
Learning Causal or Non-Causal Graphical Models Using Information Theory
| 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... |
| 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... |
| miic | MIIC, causal network learning algorithm including latent... |
| plot.miic | Basic plot function of a miic network inference result |
| plot.tmiic | Basic plot function of a temporal miic (tmiic) network... |
| writeCytoscapeNetwork | GraphML converting function for miic graph |
| writeCytoscapeStyle | Style writing function for the miic network |
