Hi,

I am trying to cross-validate a logistic regression model.
I am using logistic regression model (lrm) of package Design.

f <- lrm( cy ~ x1 + x2, x=TRUE, y=TRUE)
val <- validate.lrm(f, method="cross", B=5)

My class cy has values 0 and 1.

"val" variable will give me indicators like slope and AUC. But, I also need
the vector of predicted values of class variable "cy" for each record while
cross-validation, so that I can manually look at the results. So, is there
any way to get those probabilities assigned to each class.

regards,
Nitin

	[[alternative HTML version deleted]]

