Description Usage Arguments Details Value Author(s) See Also

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

1 2 3 4 5 6 |

`object` |
Object of class inheriting from ( |

`newdata` |
Data frame of observations for which to make predictions |

`n.trees` |
Number of trees used in the prediction. |

`single.tree` |
If |

`...` |
further arguments passed to or from other methods |

`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.

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

Yi Yang yiyang@umn.edu and Hui Zou hzou@stat.umn.edu

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.