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 network |
gsim100 | A simulated data set from a Gaussian continuous Bayesian network |
gsimmat | An adjacency matrix of a simulated dataset |
interactions | interactions dataset |
iterativeMCMC | Structure learning with an iterative order MCMC algorithm on an expanded search space |
iterativeMCMC class | iterativeMCMC class structure |
itercomp | Performance assessment of iterative MCMC scheme against a known Bayesian network |
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 threshold |
orderMCMC | Structure learning with the order MCMC algorithm |
orderMCMC class | orderMCMC class structure |
partitionMCMC | DAG structure sampling with partition MCMC |
partitionMCMC class | partitionMCMC class structure |
plot.iterativeMCMC | Structure learning with an iterative order MCMC algorithm on an expanded search space |
plot.itercomp | Performance assessment of iterative MCMC scheme against a known Bayesian network |
plot.orderMCMC | Structure learning with the order MCMC algorithm |
plot.partitionMCMC | DAG structure sampling with partition MCMC |
plot.samplecomp | Performance assessment of sampling algorithms against a known Bayesian network |
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 |
print.iterativeMCMC | Structure learning with an iterative order MCMC algorithm on an expanded search space |
print.itercomp | Performance assessment of iterative MCMC scheme against a known Bayesian network |
print.orderMCMC | Structure learning with the order MCMC algorithm |
print.partitionMCMC | DAG structure sampling with partition MCMC |
print.samplecomp | Performance assessment of sampling algorithms against a known Bayesian network |
print.scoreparameters | Initializing score object |
print.scorespace | Prints 'scorespace' object |
sampleBN | Bayesian network structure sampling from the posterior distribution |
samplecomp | Performance assessment of sampling algorithms against a known Bayesian network |
scoreagainstDAG | Calculating the score of a sample against a DAG |
scoreagainstDBN | Score against DBN |
scoreparameters | Initializing score object |
scorespace | Prints 'scorespace' object |
scorespace class | scorespace class structure |
string2mat | Deriving interactions matrix |
summary.iterativeMCMC | Structure learning with an iterative order MCMC algorithm on an expanded search space |
summary.itercomp | Performance assessment of iterative MCMC scheme against a known Bayesian network |
summary.orderMCMC | Structure learning with the order MCMC algorithm |
summary.partitionMCMC | DAG structure sampling with partition MCMC |
summary.samplecomp | Performance assessment of sampling algorithms against a known Bayesian network |
summary.scoreparameters | Initializing score object |
summary.scorespace | Prints 'scorespace' object |