autotriples: Trivariate time series plots

Description Usage Arguments Details Value Author(s) See Also Examples

View source: R/autotriples.R

Description

Trivariate time series plots: kernel autoregression using functions in the sm package

Usage

1
2
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-l_1}, x_{t-l_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

1
2
3

tsDyn documentation built on May 29, 2017, 10:48 a.m.

Search within the tsDyn package
Search all R packages, documentation and source code