predict.erboost: Predict method for erboost Model Fits

In emeryyi/erboost: Nonparametric Multiple Expectile Regression via ER-Boost

Description

Predicted values based on an ER-Boost Expectile regression model object

Usage

## S3 method for class 'erboost'
predict(object,
        newdata,
        n.trees,
        single.tree=FALSE,
        ...)

Arguments

object	Object of class inheriting from (erboost.object)
newdata	Data frame of observations for which to make predictions
n.trees	Number of trees used in the prediction. n.trees may be a vector in which case predictions are returned for each iteration specified
single.tree	If single.tree=TRUE then predict.erboost returns only the predictions from tree(s) n.trees
...	further arguments passed to or from other methods

Details

predict.erboost produces predicted values for each observation in newdata using the the first n.trees iterations of the boosting sequence. If n.trees is a vector than the result is a matrix with each column representing the predictions from erboost models with n.trees[1] iterations, n.trees[2] iterations, and so on.

The predictions from erboost do not include the offset term. The user may add the value of the offset to the predicted value if desired.

If object was fit using erboost.fit there will be no Terms component. Therefore, the user has greater responsibility to make sure that newdata is of the same format (order and number of variables) as the one originally used to fit the model.

Value

Returns a vector of predictions. By default the predictions are on the scale of f(x).

Author(s)

Yi Yang [e-mail] and Hui Zou [e-mail]

See Also

erboost, erboost.object

emeryyi/erboost documentation built on May 16, 2019, 5:06 a.m.