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 |
covariance | Estimated covariance matrix |
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 |
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"' |
reinis | Risk factors of coronary heart disease |
rgwish | Sampling from G-Wishart distribution |
rmvnorm | Generate data from the multivariate Normal distribution |
rwish | Sampling from Wishart distribution |
sample_ug | Bayesian Structure Learning in Graphical Models |
select | Graph selection |
summary.bdgraph | Summary function for 'S3' class '"bdgraph"' |
surveyData | Labor force survey data |
traceplot | Trace plot of graph size |
transfer | transfer for discrete data |