| as.data.frame.sparsebnData | Convert a sparsebnData object back to a data.frame |
| as.edgeList | as.edgeList |
| as.sparse | as.sparse |
| coerce_discrete | Recode discrete data |
| count.interventions | Count the number of rows under intervention |
| count.levels | Count the number of levels per variable |
| degrees | Degree distribution of a graph |
| edgeList | edgeList class |
| estimate.parameters | Estimate the parameters of a Bayesian network |
| fit_glm_dag | Inference in Bayesian networks |
| fit_multinom_dag | Inference in discrete Bayesian networks |
| generate.lambdas | generate.lambdas |
| get.adjacency.matrix | get.adjacency.matrix |
| get.covariance | Covariance and precision matrices |
| get.lambdas | get.lambdas |
| get.nodes | get.nodes |
| get.solution | Select solutions from a solution path |
| is.obs | Check if data is observational |
| is.zero | is.zero |
| num.edges | num.edges |
| num.nodes | num.nodes |
| num.samples | num.samples |
| openCytoscape | Display graphs in Cytoscape |
| permute.nodes | Permute the order of nodes in a graph |
| plot.edgeList | Plot a fitted Bayesian network object |
| random.dag | Generate random DAGs |
| random.graph | Generate random DAGs |
| random.spd | Generate a random positive definite matrix |
| select | Select solutions from a solution path |
| select.parameter | Tuning parameter selection |
| setGraphPackage | Change data structure for representing graphs internally |
| setPlotPackage | Change default plotting mechanism |
| show.parents | Inspect subgraph |
| sparse | sparse class |
| sparsebn-compat | Conversion between graph types |
| sparsebnData | sparsebnData class |
| sparsebnFit | sparsebnFit class |
| sparsebn-functions | Utility functions |
| sparsebn-messages | Messages |
| sparsebnPath | sparsebnPath class |
| sparsebnUtils | sparsebnUtils: Utilities for the sparsebn package. |
| specify.prior | Build a black list based on prior knowledge |
| to_edgeList | Conversion to edgeList object |
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