BDgraph-package | Bayesian Structure Learning in Graphical Models |

adj2link | Extract links from an adjacency matrix |

auc | Compute the area under the ROC curve |

BDgraph | Bayesian Structure Learning in Graphical Models |

bdgraph | Search algorithm in graphical models |

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

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

bdgraph.npn | Nonparametric transfer |

bdgraph.sim | Graph data simulation |

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

bf | Bayes factor for two graphs |

calc_joint_dist | Bayesian Structure Learning in Graphical Models |

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) |

ddweibull_reg | Bayesian Structure Learning in Graphical Models |

detect_cores | Bayesian Structure Learning in Graphical Models |

geneExpression | Human gene expression dataset |

generate_clique_factors | Bayesian Structure Learning in Graphical Models |

get_bounds_dw | Bayesian Structure Learning in Graphical Models |

get_cores | Bayesian Structure Learning in Graphical Models |

get_Ds_tgm_R | 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 |

get_Ts_R | 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 |

log_post_cond_dw | Bayesian Structure Learning in Graphical Models |

near_positive_definite | 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 |

posterior.predict | Posterior Predictive Samples |

precision | Estimated precision matrix |

predict.bdgraph | Predict function for 'S3' class "'bdgraph'" |

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 |

update_mu_R | Bayesian Structure Learning in Graphical Models |

update_tu_R | Bayesian Structure Learning in Graphical Models |