caret (version 6.0-71)

bagEarth: Bagged Earth

Description

A bagging wrapper for multivariate adaptive regression splines (MARS) via the earth function

Usage

"bagEarth"(formula, data = NULL, B = 50, summary = mean, keepX = TRUE, ..., subset, weights, na.action = na.omit) 
"bagEarth"(x, y, weights = NULL, B = 50,  summary = mean, keepX = TRUE, ...)

Arguments

formula

A formula of the form y ~ x1 + x2 + ...

x

matrix or data frame of 'x' values for examples.

y

matrix or data frame of numeric values outcomes.

weights

(case) weights for each example - if missing defaults to 1.

data

Data frame from which variables specified in 'formula' are preferentially to be taken.

subset

An index vector specifying the cases to be used in the training sample. (NOTE: If given, this argument must be named.)

na.action

A function to specify the action to be taken if 'NA's are found. The default action is for the procedure to fail. An alternative is na.omit, which leads to rejection of cases with missing values on any required variable. (NOTE: If given, this argument must be named.)

B

the number of bootstrap samples

summary

a function with a single argument specifying how the bagged predictions should be summarized

keepX

a logical: should the original training data be kept?

...

arguments passed to the earth function

Value

A list with elements

Details

The function computes a Earth model for each bootstap sample.

References

J. Friedman, ``Multivariate Adaptive Regression Splines'' (with discussion) (1991). Annals of Statistics, 19/1, 1-141.

See Also

earth, predict.bagEarth

Examples

## Not run: 
# library(mda)
# library(earth)
# data(trees)
# fit1 <- earth(trees[,-3], trees[,3])
# fit2 <- bagEarth(trees[,-3], trees[,3], B = 10)
# ## End(Not run)