Bayesian Structure Learning in Graphical Models using Birth-Death MCMC

adj2link | Extract links from an adjacency matrix |

bdgraph | Search algorithm in graphical models |

bdgraph.dw | Search algorithm for Gaussian copula graphical models for... |

bdgraph.mpl | Search algorithm in graphical models using marginal... |

bdgraph.npn | Nonparametric transfer |

BDgraph-package | Bayesian Structure Learning in Graphical Models |

bdgraph.sim | Graph data simulation |

bdw.reg | Bayesian estimation of (zero-inflated) Discrete Weibull... |

bf | Bayes factor between two graphs |

churn | Churn data set |

compare | Graph structure comparison |

conf.mat | Confusion Matrix |

conf.mat.plot | Plot Confusion Matrix |

covariance | Estimated covariance matrix |

ddweibull | The Discrete Weibull Distribution (Type 1) |

geneExpression | Human gene expression dataset |

gnorm | Normalizing constant for G-Wishart |

graph.sim | Graph simulation |

link2adj | Extract links from an adjacency matrix |

pgraph | Posterior probabilities of the graphs |

plinks | Estimated posterior link probabilities |

plot.bdgraph | Plot function for 'S3' class "'bdgraph'" |

plotcoda | Convergence plot |

plot.graph | Plot function for 'S3' class '"graph"' |

plotroc | ROC plot |

plot.sim | Plot function for 'S3' class "'sim'" |

precision | Estimated precision matrix |

print.bdgraph | Print function for 'S3' class "'bdgraph'" |

print.sim | Print function for 'S3' class "'sim'" |

reinis | Risk factors of coronary heart disease |

rgwish | Sampling from G-Wishart distribution |

rmvnorm | Generate data from the multivariate Normal distribution |

roc | Build a ROC curve |

rwish | Sampling from Wishart distribution |

select | Graph selection |

sparsity | Compute the sparsity of a graph |

summary.bdgraph | Summary function for 'S3' class "'bdgraph'" |

surveyData | Labor force survey data |

traceplot | Trace plot of graph size |

trensfer | transfer for count data |

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