ComGGL {ComGGL} | R Documentation |
The function uses a joint group graphical lasso approach with community detection-based grouping.
ComGGL(Y,lambda1,lambda2,lambda3,K,pd,list.controls)
Y |
Data matrix of dimension nxp. |
lambda1 |
Regularization parameter that dictates the sparsity of the undirected graphs |
lambda2 |
Regularization parameter that controls the grouping effect |
lambda3 |
Regularization parameter that controls the balance between |
K |
The number of desired communities of nodes; default is |
pd |
Indicator if |
list.controls |
List of control parameters specifying:
|
A list containing the objects:
Components |
Vector of size p of community labels (one per node). |
A |
Adjacency matrix of dimension pxp corresponding to the undirected graph. |
X |
Membership matrix of dimension pxp. |
Theta |
Concentration matrix of dimension pxp. |
Z1 |
Dual variables matrix corresponding to |
Z2 |
Dual variables matrix corresponding to |
Convergence |
Convergence history across iterations. |
data(fmri) obj=ComGGL(Y,.4,.2)