locfit: aicplot – R documentation

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aicplot

Compute an AIC plot.

Description

The aicplot function loops through calls to the aic function (and hence to locfit), using a different smoothing parameter for each call. The returned structure contains the AIC statistic for each fit, and can be used to produce an AIC plot.

Usage

aicplot(..., alpha)

Arguments

`...`	arguments to the `aic`, `locfit` functions.
`alpha`	Matrix of smoothing parameters. The `aicplot` function loops through calls to `aic`, using each row of `alpha` as the smoothing parameter in turn. If `alpha` is provided as a vector, it will be converted to a one-column matrix, thus interpreting each component as a nearest neighbor smoothing parameter.

Value

An object with class "gcvplot", containing the smoothing parameters and AIC scores. The actual plot is produced using plot.gcvplot.

Examples

data(morths)
plot(aicplot(deaths~age,weights=n,data=morths,family="binomial",
  alpha=seq(0.2,1.0,by=0.05)))

locfit

Local Regression, Likelihood and Density Estimation

v1.5-9.4

GPL (>= 2)

Authors

Catherine Loader [aut], Jiayang Sun [ctb], Lucent Technologies [cph], Andy Liaw [cre]

Initial release

2020-03-24