Bayesian Structure Learning in Graphical Models using Birth-Death MCMC


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Documentation for package ‘BDgraph’ version 2.64

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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