Provides statistical tools for Bayesian structure learning in undirected graphical models with both continuous and discrete variables.
|Author||Abdolreza Mohammadi and Ernst Wit|
|Date of publication||2017-01-09 21:45:49|
|Maintainer||Abdolreza Mohammadi <firstname.lastname@example.org>|
|License||GPL (>= 3)|
bdgraph: Search algorithm in graphical models
BDgraph-internal: Internal BDgraph functions and datasets
bdgraph.npn: Nonparametric transfer
BDgraph-package: Bayesian Structure Learning in Graphical Models
bdgraph.sim: Synthetic graph data generator
bdgraph.ts: Search algorithm in time series graphical models
compare: Comparing the results
geneExpression: Human gene expression dataset
gnorm: Log of the normalizing constant of G-Wishart distribution
pgraph: Posterior probabilities of the graphs
plinks: Estimated posterior link probabilities
plot.bdgraph: Plot function for 'S3' class '"bdgraph"'
plotcoda: Convergence plot
plotroc: ROC plot
plot.sim: Plot function for 'S3' class '"sim"'
print.bdgraph: Print function for 'S3' class '"bdgraph"'
print.sim: Print function for 'S3' class '"sim"'
rcwish: Sampling from Complex Wishart distribution
rgcwish: Sampling from complex G-Wishart distribution
rgwish: Sampling from G-Wishart distribution
rwish: Sampling from Wishart distribution
select: Graph selection
summary.bdgraph: Summary function for 'S3' class '"bdgraph"'
surveyData: Labor force survey data
traceplot: Trace plot of graph size