Those functions are low-level functions used by errorest and
are normally not called by users.
# S3 method for factor
cv(y, formula, data, model, predict, k=10, random=TRUE,
strat=FALSE,
predictions=NULL, getmodels=NULL, list.tindx = NULL, ...)
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.
k-fold cross-validation.
logical, indicates whether a random order or the given
order of the data should be used for sample splitting or not, defaults to
TRUE.
logical, stratified sampling or not, defaults to FALSE.
logical, return the prediction of each observation.
logical, return a list of models for each fold.
list of numeric vectors, indicating which observations are included in each cross-validation sample.
additional arguments to model.
See errorest.