Predict with an `earth`

model.

```
# S3 method for earth
predict(object = stop("no 'object' argument"), newdata = NULL,
type = c("link", "response", "earth", "class", "terms"),
interval = "none", level = .95,
thresh = .5, trace = FALSE, …)
```

object

An `earth`

object.
This is the only required argument.

newdata

Make predictions using `newdata`

, which
can be a data frame, a matrix, or a vector with length equal to a
multiple of the number of columns
of the original input matrix `x`

.
Default is NULL, meaning return values predicted from the training set.
NAs are allowed in `newdata`

(and the predicted value will be NA
unless the NAs are in variables that are unused in the earth model).

type

Type of prediction.
One of `"link"`

(default), `"response"`

, `"earth"`

, `"class"`

, or `"terms"`

.
See the **Note** below.

interval

Return prediction or confidence levels.
Default is `"none"`

.
Use `interval="pint"`

to get prediction intervals on new data.

Requires that the earth model was built with `varmod.method`

.

This argument gets passed on as the `type`

argument to `predict.varmod`

.
See its help page for details.

level

Confidence level for the `interval`

argument.
Default is `0.95`

, meaning construct 95% confidence bands
(estimate the 2.5% and 97.5% levels).

thresh

Threshold, a value between 0 and 1 when predicting a probability.
Only applies when `type="class"`

.
Default is 0.5.
See the **Note** below.

trace

Default `FALSE`

. Set to `TRUE`

to see which data, subset, etc. `predict.earth`

is using.

…

Unused, but provided for generic/method consistency.

The predicted values (a matrix for multiple response models).

If `type="terms"`

, a matrix with each column showing the contribution of a predictor.

If `interval="pint"`

or `"cint"`

, a matrix with three columns:
`fit`

: the predicted values
`lwr`

: the lower confidence or prediction limit
`upr`

: the upper confidence or prediction limit

If `interval="se"`

, the standard errors.

# NOT RUN { data(trees) earth.mod <- earth(Volume ~ ., data = trees) predict(earth.mod) # same as earth.mod$fitted.values predict(earth.mod, data.frame(Girth=10, Height=80)) # yields 17.6 predict(earth.mod, c(10,80)) # equivalent # }