adj2link | Extract links from an adjacency matrix |
auc | Compute the area under the ROC curve |
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 for two graphs |
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 |
mse | Graph structure comparison |
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'" |
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'" |
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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