# Bayesian Inference for Directed Acyclic Graphs

## Documentation for package ‘BiDAG’ version 1.4.1

- DESCRIPTION file.

## Help Pages

Asia | Asia dataset
Asiamat | Asiamat
Boston | Boston housing data
compact2full | Deriving an adjecency matrix of a full DBN
compareDAGs | Comparing two DAGs
compareDBNs | Comparing two DBNs
dag.threshold | Estimating a graph corresponding to a posterior probability threshold
DAGscore | Calculating the BGe/BDe score of a single DAG
DBNdata | A simulated data set from a 2-step dynamic Bayesian network A synthetic dataset containing 100 observations generated from a random dynamic Bayesian network with 12 continuous dynamic nodes and 3 static discrete nodes. The DBN imcludes observations from 5 time slices.
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
edges.posterior | Estimating posterior probabilities of single edges
full2compact | Deriving a compact adjacency matrix of a DBN
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
iterations.check | Performance assessment of iterative MCMC scheme against a known Bayesian network
iterativeMCMC | Structure learning with an iterative order MCMC algorithm on an expanded search space
m2graph | Deriving a graph from an adjacancy matrix
orderMCMC | Structure learning with the order MCMC algorithm
partitionMCMC | DAG structure sampling with partition MCMC
plotDBN | Plotting a DBN
plotdiffs | Plotting difference between two graphs
plotdiffs.DBN | Plotting difference between two DBNs
plotpcor | Comparing posterior probabilitites of single edges based on two samples
plotpedges | Plotting posterior probabilities of single edges
sample.check | Performance assessment of sampling algorithms against a known Bayesian network
scoreagainstDAG | Calculating the score of a sample against a DAG
scoreparameters | Initialising score object