tvar1sim: Simulate a realization from a particular TVAR(1) model.
Description
Simulates a realization from a TVAR(1) model where
the AR(1) parameter moves from 0.9 to -0.9 in equal steps
over 512 time points. The realization is also of length 512.
The innovations are normally distributed with mean zero and
standard deviation of sd.
Usage
tvar1sim(sd = 1)
Arguments
sd
This is the standard deviation of the Gaussian innovation.
Value
A realization of the aforementioned TVAR(1) process.
Details
This function is easily converted into one that does the
same thing but for a different sample size.
References
Nason, G.P. (2013) A test for second-order stationarity and
approximate confidence intervals for localized autocovariances
for locally stationary time series. J. R. Statist. Soc. B,
75, 879-904.