R: Sparse Gaussian Graphical Modeling with Variable Clustering

# Sparse Gaussian Graphical Modeling with Variable Clustering

## Documentation for package ‘clusterGGM’ version 0.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

clusterGGM-package | Sparse Gaussian Graphical Modeling with Variable Clustering
cggm | Clusterpath Estimator of the Gaussian Graphical Model
cggm_cv | Cross Validation for the Clusterpath Estimator of the Gaussian Graphical Model
cggm_refit | Refit the Gaussian Graphical Model for a Given Aggregation and Sparsity Structure
clusterGGM | Sparse Gaussian Graphical Modeling with Variable Clustering
clusterpath_weights | Compute the Weight Matrix for the Clusterpath Penalty
cv_folds | Create Cross-Validation Folds
get_clusters | Extract the Cluster Assignment
get_clusters.CGGM | Extract the Cluster Assignment
get_clusters.CGGM_CV | Extract the Cluster Assignment
get_clusters.CGGM_refit | Extract the Cluster Assignment
get_Theta | Extract the Estimated Precision Matrix
get_Theta.CGGM | Extract the Estimated Precision Matrix
get_Theta.CGGM_CV | Extract the Estimated Precision Matrix
get_Theta.CGGM_refit | Extract the Estimated Precision Matrix
lasso_weights | Compute the Weight Matrix for the Lasso Penalty
min_clusters | Calculate the Minimum Number of Clusters