Predicted values based on an ER-Boost Expectile regression model object
# S3 method for erboost
predict(object,
newdata,
n.trees,
single.tree=FALSE,
...)
Returns a vector of predictions. By default the predictions are on the scale of f(x).
Object of class inheriting from (erboost.object)
Data frame of observations for which to make predictions
Number of trees used in the prediction. n.trees may
be a vector in which case predictions are returned for each
iteration specified
If single.tree=TRUE then predict.erboost returns
only the predictions from tree(s) n.trees
further arguments passed to or from other methods
Yi Yang yiyang@umn.edu and Hui Zou hzou@stat.umn.edu
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.
erboost, erboost.object