cable.ar.p.diag: Bent-Cable AR(p>0) Diagnostics

In bentcableAR: Bent-Cable Regression for Independent Data or Autoregressive Time Series

Bent-Cable AR(p>0) Diagnostics

Description

ACF, PACF, and other plots are produced for diagnosing an AR(p) bent-cable fit when p>0.

Usage

cable.ar.p.diag(ar.p.fit, resid.type = "p", xlab = "time", ylab = "",
	main = NULL, main.all = NULL, ctp.ci = NULL)

Arguments

ar.p.fit	A cable.ar.p.iter object for AR(p) data, p>0.
resid.type	A type argument for the plot function; used to control the way fitted residuals and innovations are displayed. Default is "p" for points.
xlab	Character string: x-axis label.
ylab	Character string: y-axis label.
main	Character string: title for the time series plot.
main.all	Character string: title for the entire set of plots.
ctp.ci	A cable.change.conf object.

Details

This function splits the plotting canvas into several panels. For one panel, ar.p.fit is fed to cable.ar.p.plot that produces a scatterplot of the data and overlays on it the fitted bent cable with the estimated transition. The optioinal ctp.ci is also fed to cable.ar.p.plot to add the CTP confidence interval to the same panel. Additionally, ar.p.fit is fed to cable.ar.p.resid to extract the fitted residuals and innovations, which are then plotted in separate panels that again show the estimated transition and confidence interval. Finally, four panels show ACF and PACF diagnostics for the fitted residuals and innovations, via the built-in R functions acf and pacf.

Warning

See the warnings from cable.ar.p.plot and cable.ar.p.resid.

Note

This function is intended for internal use by bentcable.ar.

Author(s)

Grace Chiu

References

See the bentcableAR package references.

See Also

cable.lines, plot, par, acf, pacf

Examples

data(sockeye)

# AR(2) cable fit
fit.ar2 <- cable.ar.p.iter( c(13,.1,-.5,11,4,.5,-.5),
	sockeye$logReturns, tol=1e-4 )
cable.ar.p.diag( fit.ar2, main="bent cable", main.all="Sockeye",
	ctp.ci=cable.change.conf( fit.ar2, .9 ) )
		# compare to this:
		# fit.ar2 <- bentcable.ar( sockeye$logReturns,
		#	init.cable=c(13,.1,-.5,11,4), p=2, main="Sockeye bent cable",
		#	ci.level=.9 )

# AR(4) stick fit
fit.ar4 <- cable.ar.p.iter( c(13,.1,-.5,11,.5,-.5,.5,-.5),
	sockeye$logReturns, tol=1e-4, stick=TRUE )
cable.ar.p.diag( fit.ar4, ctp.ci=cable.change.conf( fit.ar4, .95 ) )
		# compare to this:
		# fit.ar4 <- bentcable.ar( sockeye$logReturns,
		#	init.cable=c(13,.1,-.5,11), p=4, stick=TRUE )

bentcableAR documentation built on June 28, 2022, 5:05 p.m.