| 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 |