# bagEarth

##### Bagged Earth

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

function

- Keywords
- regression

##### Usage

`bagEarth(x, ...)`# S3 method for default
bagEarth(x, y, weights = NULL, B = 50, summary = mean, keepX = TRUE, ...)

# S3 method for formula
bagEarth(
formula,
data = NULL,
B = 50,
summary = mean,
keepX = TRUE,
...,
subset,
weights = NULL,
na.action = na.omit
)

# S3 method for bagEarth
print(x, ...)

##### Arguments

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

- …
arguments passed to the

`earth`

function- y
matrix or data frame of numeric values outcomes.

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

- 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?

- formula
A formula of the form

`y ~ x1 + x2 + ...`

- 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.)

##### Details

The function computes a Earth model for each bootstap sample.

##### Value

A list with elements

a list of `B`

Earth fits

the number of bootstrap samples

the function call

either `NULL`

or the value of `x`

, depending on the
value of `keepX`

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

```
# NOT RUN {
library(mda)
library(earth)
data(trees)
fit1 <- earth(x = trees[,-3], y = trees[,3])
set.seed(2189)
fit2 <- bagEarth(x = trees[,-3], y = trees[,3], B = 10)
# }
# NOT RUN {
# }
```

*Documentation reproduced from package caret, version 6.0-86, License: GPL (>= 2)*