# Categorical Bayesian Network Inference

## Documentation for package ‘catnet’ version 1.09.4

- DESCRIPTION file.
- Overview of user guides and package vignettes; browse directory.
- Code demos. Use demo() to run them.

## Help Pages

catnet-package | catnet: Categorical Bayesian Network Inference
alarm | The ALARM network
alarmnet | The ALARM network
as.graph | Graph from catNetwork
as.graph-method | Graph from catNetwork
as.igraph | catNetwork to igraph
as.igraph-method | catNetwork to igraph
breast | Breast cancer data
catnet | catnet: Categorical Bayesian Network Inference
catNetwork | Class "catNetwork"
catNetwork-class | Class "catNetwork"
catNetworkDistance | Class "catNetworkDistance"
catNetworkDistance-class | Class "catNetworkDistance"
catNetworkEvaluate | Class "catNetworkEvaluate"
catNetworkEvaluate-class | Class "catNetworkEvaluate"
cnCatnetFromEdges | catNetwork from Edges
cnCatnetFromEdges-method | catNetwork from Edges
cnCatnetFromGraph | catNetwork from Graph
cnCatnetFromGraph-method | catNetwork from Graph
cnCatnetFromSif | catNetwork from Simple Interaction File (SIF)
cnCatnetFromSif-method | catNetwork from Simple Interaction File (SIF)
cnCluster | Network Clustering
cnCluster-method | Network Clustering
cnClusterMI | Network Clustering
cnClusterSep | Network Clustering
cnClusterSep-method | Network Clustering
cnCompare | Network Comparison
cnCompare-method | Network Comparison
cnComplexity | Network Complexity
cnComplexity-method | Network Complexity
cnDiscretize | Data Categorization
cnDot | Network Description File
cnDot-method | Network Description File
cnEdgeDistanceKL | Pairwise Node Entropy
cnEdgeDistancePearson | Pairwise Node Entropy
cnEdges | Network Edges
cnEdges-method | Network Edges
cnEntropy | Pairwise Node Entropy
cnEntropyOrder | Pairwise Node Entropy
cnEvaluate | Network Evaluation from Data
cnEvaluate-method | Network Evaluation from Data
cnFind | Find Network by Complexity
cnFind-method | Find Network by Complexity
cnFindAIC | Find Network by AIC
cnFindAIC-method | Find Network by AIC
cnFindBIC | Find Network by BIC
cnFindBIC-method | Find Network by BIC
cnKLComplexity | Network Complexity
cnKLComplexity-method | Network Complexity
cnLoglik | Sample Log-likelihood
cnLoglik-method | Sample Log-likelihood
cnMatEdges | Network Edge Matrix
cnMatEdges-method | Network Edge Matrix
cnMatParents | Network Parent Matrix
cnMatParents-method | Network Parent Matrix
cnNew | New catNetwork
cnNodeLoglik | Node Log-likelihood
cnNodeLoglik-method | Node Log-likelihood
cnNodeMarginalProb | Node Marginal Probability
cnNodeMarginalProb-method | Node Marginal Probability
cnNodes | Netwok Nodes
cnNodes-method | Netwok Nodes
cnNodeSampleLoglik | Node Log-likelihood
cnNodeSampleProb | Node Log-likelihood
cnNumNodes | Network Size
cnNumNodes-method | Network Size
cnOrder | Network Node Order
cnOrder-method | Network Node Order
cnParents | Network Parent Structure
cnParents-method | Network Parent Structure
cnParHist | Parenthood Histogram
cnParHist-method | Parenthood Histogram
cnPearsonTest | Goodness of Fit Test
cnPearsonTest-method | Goodness of Fit Test
cnPlot | Plot Network
cnPlot-method | Plot Network
cnPredict | Prediction
cnPredict-method | Prediction
cnProb | Conditional Probability Structure
cnProb-method | Conditional Probability Structure
cnRandomCatnet | Random Network
cnReorderNodes | Reorder Network Nodes
cnReorderNodes-method | Reorder Network Nodes
cnSamples | Samples from Network
cnSamples-method | Samples from Network
cnSearchHist | Parent Histogram Matrix
cnSearchOrder | Network Search for Given Node Order
cnSearchSA | Stochastic Network Search
cnSetProb | Set Probability from Data
cnSetProb-method | Set Probability from Data
cnSetSeed | Random Generator Seed
cnSubNetwork | Sub-Network
cnSubNetwork-method | Sub-Network
CPDAG | Class CPDAG
CPDAG-class | Class CPDAG
dag2cpdag | Complete Network Representation
dag2cpdag-method | Complete Network Representation
isDAG | Check Direct Acyclic Graph (DAG) Condition
novartis | Novartis multi-tissue data