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 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
