Sparse Gaussian Graphical Modeling with Variable Clustering

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Documentation for package ‘clusterGGM’ version 0.1.1

• DESCRIPTION file.
• Package NEWS.

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