cv.lo2 {DAMisc} R Documentation

## Cross-validating Loess curve

### Description

Function provides the cross-validation error for the loess curve in a manner that is amenable to optimization of the span.

### Usage

## S3 method for class 'lo2'
cv(
span,
form,
data,
cost = function(y, yhat) mean((y - yhat)^2, na.rm = TRUE),
K = n,
numiter = 100,
which = c("corrected", "raw")
)


### Arguments

 span The span of the loess smoother. form The formula that identifies the model data A data frame containing the required variables. cost Cost function to be passed down to loess. K Number of folds for the cross-validation numiter Number of times over which the cv error will be aggregated which Return raw or corrected cv error

### Value

The cross-validation error from the loess curve.

### Author(s)

Dave Armstrong

[Package DAMisc version 1.7.2 Index]