Residual Autocorrelation Plot
Residual autocorrelation plot for "FitAR" objects. This
plot is useful for diagnostic checking models fit with the
function FitAR.
RacfPlot(obj, lag.max = 1000, SquaredQ=FALSE, ylab="")
obj |
output from FitAR |
lag.max |
maximum lag. Set to 1000 since minimum of this value and the value
in the |
SquaredQ |
default is FALSE. For squared residual autocorrelations, set to TRUE |
ylab |
y-axis label |
The standard deviations of the residual autocorrelations are obtained from McLeod (1978, eqn.16) or McLeod and Zhang (2006, eqn.16). Simultaneous confidence bounds are shown and constructed using the Bonferonni approximation as suggested by Hosking and Ravishanker (1993)
Plot is produced as a side-effect. No output
This function is normally invoked when plot.FitAR is used.
A.I. McLeod and Y. Zhang
Hosking, J.R.M. and Ravishanker, N. (1993) Approximate simultaneous significance intervals for residual autocorrelations of autoregressive-moving average time series models. Journal of Time Series Analysis 14, 19-26.
McLeod, A.I. (1978), On the distribution and applications of residual autocorrelations in Box-Jenkins modelling, Journal of the Royal Statistical Society B 40, 296-302.
McLeod, A.I. and Zhang, Y. (2006). Partial autocorrelation parameterization for subset autoregression. Journal of Time Series Analysis, 27, 599-612.
#fit subset AR and plot diagnostic check data(SeriesA) out<-FitAR(SeriesA, c(1,2,7), ARModel="ARp") RacfPlot(out) #note that plot produces LBQPlot and RacfPlot plot(out) #check squared residuals RacfPlot(out, SquaredQ=TRUE)
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