SCMid2 | R Documentation |
Provides detailed analysis of scalar component models for a specified VARMA model. The overall model is specified by SCMid.
SCMid2(zt, maxp = 2, maxq = 2, h = 0, crit = 0.05, sseq = NULL)
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. |
Tmatrix |
The transformation matrix T |
SCMorder |
The orders of SCM components |
Ruey S. Tsay
Tsay (2014, Chapter 4). Multivariate Time Series Analysis with R and Financial Applications. John Wiley. Hoboken, NJ.
SCMid
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)
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