Cross-validation for regression trees

Cross-validation for regression trees

Usage

cv_tree(formula, data, ..., nfolds = 10, seed, p = seq(0.01, 0.2, 0.01))

# S3 method for class 'cv_tree'
plot(x, rev = FALSE, ...)

Arguments

formula

Model formula, as in ctree()

data

Data frame containing the variables in the model, as in ctree()

...

Additional arguments to ctree()

nfolds

Number of cross-validation folds. Default: 10.

seed

Seed for reproducibility

p

Complexity parameter; see mincriterion in ctree_control()

x

Result of a call to

rev

Reverse horizontal axis (i.e., plot from high-to-low complexity)? Defualt: FALSE.

Examples

cv <- cv_tree(mpg ~ ., mtcars)
plot(cv)