predict_cforest

Fitted <code>cforest</code> classifier, as returned by
<code><a rd-options="" href="/link/fit_cforest?package=emil&version=2.2.10" data-mini-rdoc="emil::fit_cforest">fit_cforest</a></code>.

object

New data to be used for predictions.

Time point to evaluate survival curves at. If omitted it is set
to the last observed time point.

Sent to <code><a rd-options="party" href="/link/treeresponse?package=emil&version=2.2.10&to=party" data-mini-rdoc="party::treeresponse">treeresponse</a></code>&lt;U+00B7&gt;

Prediction function for models fitted with <code><a rd-options="" href="/link/fit_cforest?package=emil&version=2.2.10" data-mini-rdoc="emil::fit_cforest">fit_cforest</a></code>.

A toolbox for designing and evaluating predictive models with
resampling methods. The aim of this package is to provide a simple and
efficient general framework for working with any type of prediction
problem, be it classification, regression or survival analysis, that is
easy to extend and adapt to your specific setting. Some commonly used
methods for classification, regression and survival analysis are included.

Christofer Backlin

emil

Evaluation of Modeling without Information Leakage

Mats Gustafsson

predict_cforest function

Fitted <code>cforest</code> classifier, as returned by
<code><a rd-options='' href='fit_cforest'>fit_cforest</a></code>.

Sent to <code><a rd-options='party' href='treeresponse'>treeresponse</a></code>&lt;U+00B7&gt;

Prediction function for models fitted with <code><a rd-options='' href='fit_cforest'>fit_cforest</a></code>.

predict_cforest: Predict with conditional inference forest

Description

Usage

Arguments

Value

See Also