Man pages for BiDAG
Bayesian Inference for Directed Acyclic Graphs
| Asia | Asia dataset |
| Asiamat | Asiamat |
| bidag2coda | Converting a single BiDAG chain to mcmc object |
| bidag2codalist | Converting multiple BiDAG chains to mcmc.list |
| Boston | Boston housing data |
| compact2full | Deriving an adjecency matrix of a full DBN |
| compareDAGs | Comparing two graphs |
| compareDBNs | Comparing two DBNs |
| connectedSubGraph | Deriving connected subgraph |
| DAGscore | Calculating the BGe/BDe score of a single DAG |
| DBNdata | Simulated data set from a 2-step dynamic Bayesian network |
| DBNmat | An adjacency matrix of a dynamic Bayesian network |
| DBNscore | Calculating the BGe/BDe score of a single DBN |
| DBNunrolled | An unrolled adjacency matrix of a dynamic Bayesian network |
| edgep | Estimating posterior probabilities of single edges |
| full2compact | Deriving a compact adjacency matrix of a DBN |
| getDAG | Extracting adjacency matrix (DAG) from MCMC object |
| getMCMCscore | Extracting score from MCMC object |
| getRuntime | Extracting runtime |
| getSpace | Extracting scorespace from MCMC object |
| getSubGraph | Deriving subgraph |
| getTrace | Extracting trace from MCMC object |
| graph2m | Deriving an adjacency matrix of a graph |
| gsim | A simulated data set from a Gaussian continuous Bayesian... |
| gsim100 | A simulated data set from a Gaussian continuous Bayesian... |
| gsimmat | An adjacency matrix of a simulated dataset |
| interactions | interactions dataset |
| iterativeMCMC | Structure learning with an iterative order MCMC algorithm on... |
| iterativeMCMCclass | iterativeMCMC class structure |
| itercomp | Performance assessment of iterative MCMC scheme against a... |
| kirc | kirc dataset |
| kirp | kirp dataset |
| learnBN | Bayesian network structure learning |
| m2graph | Deriving a graph from an adjacancy matrix |
| mapping | mapping dataset |
| modelp | Estimating a graph corresponding to a posterior probability... |
| orderMCMC | Structure learning with the order MCMC algorithm |
| orderMCMCclass | orderMCMC class structure |
| partitionMCMC | DAG structure sampling with partition MCMC |
| partitionMCMCclass | partitionMCMC class structure |
| plot2in1 | Highlighting similarities between two graphs |
| plotDBN | Plotting a DBN |
| plotdiffs | Plotting difference between two graphs |
| plotdiffsDBN | Plotting difference between two DBNs |
| plotpcor | Comparing posterior probabilitites of single edges |
| plotpedges | Plotting posterior probabilities of single edges |
| sampleBN | Bayesian network structure sampling from the posterior... |
| samplecomp | Performance assessment of sampling algorithms against a known... |
| scoreagainstDAG | Calculating the score of a sample against a DAG |
| scoreagainstDBN | Score against DBN |
| scoreparameters | Initializing score object |
| scorespace | Prints 'scorespace' object |
| scorespaceclass | scorespace class structure |
| string2mat | Deriving interactions matrix |
