summary.tscgm {SparseTSCGM} | R Documentation |
Summary - S3 Method for Class 'sparse.tscgm'
Description
summary
is a generic function that produces output summaries of fitted
models in the SparseTSCGM package. In particular, the function invokes
methods for objects of class sparse.tscgm.
Usage
## S3 method for class 'tscgm'
summary(object, ...)
Arguments
object |
An object of class |
... |
Other arguments passed to summary. |
Details
The summary.stscgm
function provides summary results of the fitted model.
Value
A list containing:
theta |
Precision matrix estimate |
gamma |
Autoregressive coefficients matrix estimate |
lam1.opt |
The optimal tuning parameter on the precision matrix with model selection. |
lam2.opt |
The optimal tuning parameter on the autoregressive coefficients matrix with model selection. |
min.ic |
Minimum value of the optimality criterion. |
tun.ic |
A matrix containing the list values from model selection. |
lam1.seq |
The sequence of tuning parameter values on precision matrix. |
lam2.seq |
The sequence of tuning parameter values on autoregression matrix. |
s.theta |
Sparsity level of the precision matrix. |
s.gamma |
Sparsity level of the autoregression coefficients matrix. |
Author(s)
Fentaw Abegaz and Ernst Wit