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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