ftsa (version 3.2)

plotfplsr: Plot fitted model components for a functional time series model

Description

Plot showing the basis functions of the predictors in the top row, followed by the basis functions of the responses in the second row, then the coefficients in the bottom row of plots.

Usage

plotfplsr(x, xlab1 = x$ypred$xname, ylab1 = "Basis function", xlab2 = "Time", 
 ylab2 = "Coefficient", mean.lab = "Mean", interaction.title = "Interaction")

Value

None. Function produces a plot.

References

R. J. Hyndman and M. S. Ullah (2007) "Robust forecasting of mortality and fertility rates: A functional data approach", Computational Statistics and Data Analysis, 51(10), 4942-4956. R. J. Hyndman and H. L. Shang (2009) "Forecasting functional time series" (with discussion), Journal of the Korean Statistical Society, 38(3), 199-221.

See Also

forecast.ftsm, ftsm, plot.fm, plot.ftsf, residuals.fm, summary.fm

Examples

ausfplsr = fplsr(Australiasmoothfertility, 2)
plotfplsr(ausfplsr)