tvARFiSm: Filtering and Smoothing for Time-Varying AR Models
In ConvFuncTimeSeries/test_t: Nonlinear time series analysis

Description Usage Arguments Value Examples

This function performs forward filtering and backward smoothing for a fitted time-varying AR model with parameters in 'par'.

1	tvARFiSm(x, lags = c(1), include.mean = TRUE, par)

`x`	a time series of data.
`lags`	the lag of AR order.
`include.mean`	a logical value indicating whether the constant terms are included.
`par`	the fitted time-varying AR models. It can be an object returned by function. `tvAR`.

trARFiSm function return values returned by function dlmFilter and dlmSmooth.

t=50
x=rnorm(t)
phi1=matrix(0.4,t,1)
for (i in 2:t){
   phi1[i]=0.7*phi1[i-1]+rnorm(1,0,0.1)
	x[i]=phi1[i]*x[i-1]+rnorm(1)
}
est=tvAR(x,1)
tvARFiSm(x,1,FALSE,est$par)