gen.arma.wge {tswge} | R Documentation |
Function to generate an ARMA realization
Description
This function calls arima.sim but with more simple parameter structure for stationary ARMA models
Usage
gen.arma.wge(n, phi=0, theta=0, mu=0,vara = 1,plot = TRUE,sn=0)
Arguments
n |
Length of realization to be generated |
phi |
Vector of AR coefficients |
theta |
Vector of MA coefficients |
vara |
White noise variance, default=1 |
mu |
Theoretical mean, default=0 |
plot |
Logical: TRUE=plot, FALSE=no plot |
sn |
determines the seed used in the simulation. sn=0 produces new/random realization each time. sn=positive integer produces same realization each time |
Value
This function simply generates and (optionally plots) an ARMA realization
Author(s)
Wayne Woodward
References
"Applied Time Series Analysis with R, 2nd edition" by Woodward, Gray, and Elliott
Examples
gen.arma.wge(n=100, phi=c(1.6,-.9), theta=.8, mu=50,vara=1, plot=TRUE)
[Package tswge version 2.1.0 Index]