BDgraph-package | Bayesian Structure Learning in Graphical Models |

adj2link | Extract links from an adjacency matrix |

BDgraph | Bayesian Structure Learning in Graphical Models |

bdgraph | Search algorithm in graphical models |

bdgraph.mpl | Search algorithm in graphical models using marginal pseudo-likehlihood |

bdgraph.npn | Nonparametric transfer |

bdgraph.sim | Graph data simulation |

bf | Bayes factor between two graphs |

calc_joint_dist | Bayesian Structure Learning in Graphical Models |

churn | Churn data set |

compare | Graph structure comparison |

compute_measures | Bayesian Structure Learning in Graphical Models |

compute_tp_fp | Bayesian Structure Learning in Graphical Models |

conf.mat | Confusion Matrix |

conf.mat.plot | Plot Confusion Matrix |

covariance | Estimated covariance matrix |

ddweibull | The Discrete Weibull Distribution (Type 1) |

detect_cores | Bayesian Structure Learning in Graphical Models |

geneExpression | Human gene expression dataset |

generate_clique_factors | Bayesian Structure Learning in Graphical Models |

get_cores | Bayesian Structure Learning in Graphical Models |

get_graph | Bayesian Structure Learning in Graphical Models |

get_g_prior | Bayesian Structure Learning in Graphical Models |

get_g_start | Bayesian Structure Learning in Graphical Models |

get_K_start | Bayesian Structure Learning in Graphical Models |

get_S_n_p | Bayesian Structure Learning in Graphical Models |

global_hc | Bayesian Structure Learning in Graphical Models |

global_hc_binary | Bayesian Structure Learning in Graphical Models |

gnorm | Normalizing constant for G-Wishart |

graph.sim | Graph simulation |

hill_climb_mpl | Bayesian Structure Learning in Graphical Models |

hill_climb_mpl_binary | Bayesian Structure Learning in Graphical Models |

link2adj | Extract links from an adjacency matrix |

local_mb_hc | Bayesian Structure Learning in Graphical Models |

local_mb_hc_binary | Bayesian Structure Learning in Graphical Models |

log_mpl_binary | Bayesian Structure Learning in Graphical Models |

log_mpl_disrete | Bayesian Structure Learning in Graphical Models |

pdweibull | The Discrete Weibull Distribution (Type 1) |

pgraph | Posterior probabilities of the graphs |

plinks | Estimated posterior link probabilities |

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

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

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

plotcoda | Convergence plot |

plotroc | ROC plot |

precision | Estimated precision matrix |

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

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

qdweibull | The Discrete Weibull Distribution (Type 1) |

rdweibull | The Discrete Weibull Distribution (Type 1) |

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 |

sample_ug | Bayesian Structure Learning in Graphical Models |

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 |

transfer | transfer for count data |