CVbinary {DAAG} | R Documentation |
This function gives internal and cross-validation measures of predictive accuracy for regression with a binary response. The data are randomly assigned to a number of `folds'. Each fold is removed, in turn, while the remaining data is used to re-fit the regression model and to predict at the deleted observations.
CVbinary(obj=frogs.glm, rand=NULL, nfolds=10, print.details=TRUE)
obj |
a glm object |
rand |
a vector which assigns each observation to a fold |
nfolds |
the number of folds |
print.details |
logical variable (TRUE = print detailed output, the default) |
the order in which folds were deleted |
|
internal estimate of accuracy |
|
cross-validation estimate of accuracy |
J.H. Maindonald
glm
frogs.glm <- glm(pres.abs ~ log(distance) + log(NoOfPools), family=binomial,data=frogs) CVbinary(frogs.glm)