GCV: Gerneralized Cross Validation Criterion

In R2BayesX: Estimate Structured Additive Regression Models with 'BayesX'

Gerneralized Cross Validation Criterion

Description

Generic function returning the generalized cross validation criterium of a fitted model object.

Usage

GCV(object, ...)

## S3 method for class 'bayesx'
GCV(object, ...)

Arguments

object	an object of class "bayesx".
...	specify for which model the criterion should be returned, e.g. type model = 1 to obtain the value for the first model. Only meaningful if object contains of more than one model.

Author(s)

Nikolaus Umlauf, Thomas Kneib, Stefan Lang, Achim Zeileis.

See Also

bayesx.

Examples

## Not run: 
## generate some data
set.seed(121)
n <- 200

## regressors
dat <- data.frame(x = runif(n, -3, 3))

## generate response 
dat$y <- with(dat, 1.5 + sin(x) + rnorm(n, sd = 0.6))

## estimate model
b <- bayesx(y ~ sx(x), data = dat, method = "REML")

## extract GCV
GCV(b)

## End(Not run)

R2BayesX documentation built on Oct. 20, 2023, 9:11 a.m.