# bagEarth

From caret v5.15-052
by Max Kuhn

##### Bagged Earth

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

function

- Keywords
- regression

##### Usage

```
## S3 method for class 'formula':
bagEarth(formula, data = NULL, B = 50,
summary = mean, keepX = TRUE,
..., subset, weights, na.action = na.omit)
## S3 method for class 'default':
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. (N
- B
- the numebr 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

##### Details

The function computes a Earth model for each bootstap sample.

##### Value

- A list with elements
fit a list of `B`

Earth fitsB the number of bootstrap samples call the function call x either `NULL`

or the value of`x`

, depending on the value of`keepX`

oob a matrix of performance estimates for each bootstrap sample

##### References

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

##### See Also

##### Examples

```
library(mda)
library(earth)
data(trees)
fit1 <- earth(trees[,-3], trees[,3])
fit2 <- bagEarth(trees[,-3], trees[,3], B = 10)
```

*Documentation reproduced from package caret, version 5.15-052, License: GPL-2*

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