Usage
## S3 method for class 'factor':
bootest(y, formula, data, model, predict, nboot=25,
bc632plus=FALSE, list.tindx = NULL, predictions = FALSE,
both.boot = 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?
predictions
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.tindx
list of numeric vectors, indicating which
observations are included in each bootstrap sample.
both.boot
logical, return both (bootstrap and 632plus) estimations or
only one of them.
...
additional arguments to model.