Hi folks,
Is there a way to get the predicted values from leave-one-out cross
validation using cv.glm? More generally, is there a way to see what
output is available with any function that may not show up using the
help() function?
Below is the code that I've been using:
SRCOUNT <- read.table(file.choose(),header=T)
library(boot)
library(MASS)
q_u2 <- glm.nb(res_est ~ U2 + I(U2^2), SRCOUNT, link = log)
cv.qu2<- cv.glm(SRCOUNT,qu2)
Many thanks,
Jeff
****************************************
Jeffrey A. Stratford, Ph.D.
Postdoctoral Associate
331 Funchess Hall
Department of Biological Sciences
Auburn University
Auburn, AL 36849
334-329-9198
FAX 334-844-9234
http://www.auburn.edu/~stratja