SCMid2 {MTS} | R Documentation |
Scalar Component Model Specification II
Description
Provides detailed analysis of scalar component models for a specified VARMA model. The overall model is specified by SCMid.
Usage
SCMid2(zt, maxp = 2, maxq = 2, h = 0, crit = 0.05, sseq = NULL)
Arguments
zt |
The T-by-k data matrix of a k-dimensional time series |
maxp |
Maximum AR order specified. Default is 2. |
maxq |
Maximum MA order specified. Default is 2. |
h |
The additional past lags used in canonical correlation analysis. Default is zero. |
crit |
Type-I error used in testing. Default is 0.05. |
sseq |
The search sequence for SCM components. Default sequence starts with AR order. |
Value
Tmatrix |
The transformation matrix T |
SCMorder |
The orders of SCM components |
Author(s)
Ruey S. Tsay
References
Tsay (2014, Chapter 4). Multivariate Time Series Analysis with R and Financial Applications. John Wiley. Hoboken, NJ.
See Also
SCMid
Examples
phi=matrix(c(0.2,-0.6,0.3,1.1),2,2); sigma=diag(2)
m1=VARMAsim(300,arlags=c(1),phi=phi,sigma=sigma)
zt=m1$series
m2=SCMid2(zt)
names(m2)
[Package MTS version 1.2.1 Index]