R2BayesX (version 1.0-0)

GCV: Gerneralized Cross Validation Criterion

Description

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

Usage

GCV(object, ...)
"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.

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)