autotriples {tsDyn} | R Documentation |
Trivariate time series plots
Description
Trivariate time series plots: kernel autoregression using functions in the sm package
Usage
autotriples(
x,
lags = 1:2,
h,
type = c("levels", "persp", "image", "lines", "points")
)
Arguments
x |
time series |
lags |
vector of regressors lags |
h |
kernel window |
type |
type of plot: contour levels, perspective plots, image |
Details
This function displays trivariate time series plots, i.e. kernel regression
of x[t-lags[1]], x[t-lags[2]]
against
x[t]
using functions in the package sm. In particular,
sm.regression
is used, with smoothing parameter defaulting
to hnorm(x)
.
Value
None. Plots are produced on the default graphical device.
Author(s)
Wrappers to sm by Antonio, Fabio Di Narzo
See Also
For finer control on kernel regression, consider using directly
sm.regression
and, especially,
sm.autoregression
in package sm
.
Examples
autotriples(log(lynx))
autotriples(log(lynx), type="persp")
autotriples(log(lynx), type="image")
[Package tsDyn version 11.0.4.1 Index]