loess.wrapper: Compute a loess fit using cross validation

In bisoreg: Bayesian Isotonic Regression with Bernstein Polynomials

Description

Uses the crossval function from the boostrap package to compute the optimal value of the tuning parameter in the loess function and returns the corresponding loess fit.

Usage

loess.wrapper(x, y, span.vals = seq(0.25, 1, by = 0.05), folds = 5)

Arguments

x	predictor values
y	response values
span.vals	values of the tuning parameter to evaluate using cross validation
folds	number of "folds" for the cross-validation procedure

Details

None.

Value

Returns a loess object.

Note

None.

Author(s)

S. McKay Curtis

References

Chambers, J. M. (1991) Statistical Models in S.

See Also

loess

Examples

## See examples for bisoreg ##

Example output

Loading required package: bootstrap
Loading required package: monreg
Loading required package: R2WinBUGS
Loading required package: coda
Loading required package: boot

bisoreg documentation built on June 25, 2018, 9:03 a.m.