Man pages for sparsebnUtils
Utilities for Learning Sparse Bayesian Networks

as.data.frame.sparsebnDataConvert a sparsebnData object back to a data.frame
as.edgeListas.edgeList
as.sparseas.sparse
coerce_discreteRecode discrete data
count.interventionsCount the number of rows under intervention
count.levelsCount the number of levels per variable
degreesDegree distribution of a graph
edgeListedgeList class
estimate.parametersEstimate the parameters of a Bayesian network
fit_glm_dagInference in Bayesian networks
fit_multinom_dagInference in discrete Bayesian networks
generate.lambdasgenerate.lambdas
get.adjacency.matrixget.adjacency.matrix
get.covarianceCovariance and precision matrices
get.lambdasget.lambdas
get.nodesget.nodes
get.solutionSelect solutions from a solution path
is.obsCheck if data is observational
is.zerois.zero
num.edgesnum.edges
num.nodesnum.nodes
num.samplesnum.samples
openCytoscapeDisplay graphs in Cytoscape
permute.nodesPermute the order of nodes in a graph
plot.edgeListPlot a fitted Bayesian network object
random.dagGenerate random DAGs
random.graphGenerate random DAGs
random.spdGenerate a random positive definite matrix
selectSelect solutions from a solution path
select.parameterTuning parameter selection
setGraphPackageChange data structure for representing graphs internally
setPlotPackageChange default plotting mechanism
show.parentsInspect subgraph
sparsesparse class
sparsebn-compatConversion between graph types
sparsebnDatasparsebnData class
sparsebnFitsparsebnFit class
sparsebn-functionsUtility functions
sparsebn-messagesMessages
sparsebnPathsparsebnPath class
sparsebnUtilssparsebnUtils: Utilities for the sparsebn package.
specify.priorBuild a black list based on prior knowledge
to_edgeListConversion to edgeList object
sparsebnUtils documentation built on Jan. 27, 2021, 9:05 a.m.