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

1 2 | ```
autotriples(x, lags = 1:2, h, type = c("levels", "persp", "image", "lines",
"points"))
``` |

`x` |
time series |

`lags` |
vector of regressors lags |

`h` |
kernel window |

`type` |
type of plot: contour levels, perspective plots, image |

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)`

.

None. Plots are produced on the default graphical device.

Wrappers to sm by Antonio, Fabio Di Narzo

For finer control on kernel regression, consider using directly
`sm.regression`

and, especially,
`sm.autoregression`

in package `sm`

.

1 2 3 | ```
autotriples(log(lynx))
autotriples(log(lynx), type="persp")
autotriples(log(lynx), type="image")
``` |

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