Those functions are low-level functions used by errorest and
are normally not called by users.
# S3 method for factor
bootest(y, formula, data, model, predict, nboot=25,
bc632plus=FALSE, list.tindx = NULL, predictions = FALSE,
both.boot = FALSE, ...)
the response variable, either of class factor
(classification), numeric (regression) or Surv (survival).
a formula object.
data frame of predictors and response described in
formula.
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 values. In
this case, the predict argument to errorest is
ignored.
a function with arguments object and newdata
only which predicts the status of the observations in newdata based
on the fitted model in object.
number of bootstrap replications to be used.
logical. Should the bias corrected version of misclassification error be computed?
logical, return a matrix of predictions. The ith column contains predictions of the ith out-of-bootstrap sample and 'NA's corresponding to the ith bootstrap sample.
list of numeric vectors, indicating which observations are included in each bootstrap sample.
logical, return both (bootstrap and 632plus) estimations or only one of them.
additional arguments to model.
See errorest.