Structural Bayesian Information Criterion for Graphical Models

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Documentation for package ‘SBICgraph’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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