Learn R Programming

SparseTSCGM (version 2.2)

summary.tscgm: 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

"summary"(object, ...)

Arguments

object
An object of class sparse.tscgm
...
Other arguments passed to summary.

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.

Details

The summary.stscgm function provides summary results of the fitted model.

See Also

sparse.tscgm

Examples

Run this code
   
 # summary.tscgm(res.tscgm)

Run the code above in your browser using DataLab