| BIC.NormalBlockBase | Bayesian Information Criterion for a Normal-Block Model |
| BIC.NormalBlockCollection | Bayesian Information Criterion for a Collection of Normal-Block Models |
| brca_rppa | Breast cancer proteomics data (TCGA, RPPA) |
| coef.NormalBlockBase | Extract Model Coefficients |
| fitted.NormalBlockBase | Extract Fitted Values |
| generate_normal_block_mean_data | Generate Normal Block Mean Data |
| generate_normal_block_var_data | Generate Normal Block Var Data |
| get_model | Create a Normal-Block Model Object |
| isNB | Check if an Object is a Normal-Block Model |
| logLik.NormalBlockBase | Extract Log-Likelihood of a Normal-Block Model |
| logLik.NormalBlockCollection | Extract Log-Likelihood of a Collection of Normal-Block Models |
| NB_control | NB_control |
| NormalBlockData | Data Container for Normal-Block Models |
| NormalBlockMeanCollectionClusters | Collection of Mean-Block Models over a Range of Cluster Counts |
| NormalBlockMeanCollectionClustersSparsity | Collection of Mean-Block Models over Cluster Counts and Sparsity Levels |
| NormalBlockMeanCollectionSparsity | Collection of Mean-Block Models over a Sparsity Path |
| NormalBlockMeanKnownClusters | Mean-Block Model with Known Clustering |
| NormalBlockMeanUnknownClusters | Mean-Block Model with Unknown Clustering |
| NormalBlockVarCollectionClusters | Collection of Normal-Block Models over a Range of Cluster Counts |
| NormalBlockVarCollectionClustersSparsity | Collection of Normal-Block Models over Cluster Counts and Sparsity Levels |
| NormalBlockVarCollectionSparsity | Collection of Normal-Block Models over a Sparsity Path |
| NormalBlockVarKnownClusters | Normal-Block Model with Known Clustering |
| NormalBlockVarUnknownClusters | Normal-Block Model with Unknown Clustering |
| normal_block | Normal-block model |
| normal_block_sequential | Cluster variables in the mean, then in the residual covariance |
| onema | French stream fish community data (ONEMA / OFB electrofishing surveys) |
| plot.NormalBlockBase | Plot a Normal-Block Model |
| predict.NormalBlockBase | Predict Method for Variance-Block Models |
| print.NormalBlockBase | Print a Normal-Block Model |
| print.NormalBlockCollection | Print a Collection of Normal-Block Models |
| print.normal_block_sequential | Print a Sequential Mean-then-Variance Fit |
| print.summary.NormalBlockBase | Print a Normal-Block Model Summary |
| print.summary.NormalBlockCollection | Print a Collection Summary |
| sigma.NormalBlockBase | Extract the Covariance Matrix |
| summary.NormalBlockBase | Summarize a Normal-Block Model |
| summary.NormalBlockCollection | Summarize a Collection of Normal-Block Models |
| university | University webpages text data (CMU "4 Universities" / WebKB) |
| ZINormalBlockMeanKnownClusters | Zero-Inflated Mean-Block Model with Known Clustering |
| ZINormalBlockMeanUnknownClusters | Zero-Inflated Mean-Block Model with Unknown Clustering |
| ZINormalBlockVarKnownClusters | Zero-Inflated Normal-Block Model with Known Clustering |
| ZINormalBlockVarUnknownClusters | Zero-Inflated Normal-Block Model with Unknown Clustering |