aicplot {locfit} | R Documentation |

## Compute an AIC plot.

### Description

The `aicplot`

function loops through calls to the `aic`

function (and hence to `link{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`

.

### See Also

`locfit`

,
`locfit.raw`

,
`gcv`

,
`aic`

,
`plot.gcvplot`

### Examples

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

[Package

*locfit* version 1.1-9

Index]