Usage
## S3 method for class 'factor':
bootest(y, formula, data, model, predict, nboot=25, bc632plus=FALSE, \dots)
Arguments
y
the response variable, either of class factor
(classification), numeric (regression) or Surv (survival).
data
data frame of predictors and response described in
formula.
model
a function implementing the predictive model to be
evaluated. The function model can either return an
object representing a fitted model or a function with
argument newdata which returns predicted va
predict
a function with arguments object and newdata
only which predicts the status of the observations in newdata based
on the fitted model in object.
nboot
number of bootstrap replications to be used.
bc632plus
logical. Should the bias corrected version of misclassification
error be computed?
...
additional arguments to model.