ocv {blmeco} | R Documentation |
Ordinary cross validation score
Description
Sum of squared differences between the out-of-data prediction and the observation for the leave-one-out cross validation for linear models with normal error structure (lm-objects)
Usage
ocv(mod)
Arguments
mod |
an lm-object |
Value
the ordinary cross validation score
Author(s)
F. Korner
References
e.g. Wood, SN (2006) Generalized Additive Models, An Introduction with R. Chapman & Hall/CRC, London.
Examples
data(pondfrog1)
mod1 <- lm(log(frog+1)~ph, data=pondfrog1)
mod2 <- lm(log(frog+1)~waterdepth, data=pondfrog1)
ocv(mod1)
ocv(mod2)
[Package blmeco version 1.4 Index]