erboost (version 1.3)

predict.erboost: Predict method for erboost Model Fits

Description

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

Usage

"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

Value

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

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.

See Also

erboost, erboost.object