R: Structural Bayesian Information Criterion for Graphical Models

# Structural Bayesian Information Criterion for Graphical Models

## Documentation for package ‘SBICgraph’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

addition | Enrichment step for constructing the model pool
comparison | Comparing the real and estimated adjacency matrix
deletion | Pruning step for constructing the model pool
mle | Estimate the precision matrix for multivariate normal distribution with given adjacency matrix using maximum likelihood
modelset | Construct model pool using the two-step algorithm
sbic | Structural Bayesian information criterion for multivariate normal data with a given graph structure
sggm | Model selection of Gaussian graphical model based on SBIC
simulate | Randomly generate a adjacency matrix based on which to simulate data