model_frame_rpart

A model.frame method for rpart objects.

tree

A toolkit with infrastructure for representing, summarizing, and
visualizing tree-structured regression and classification models. This
unified infrastructure can be used for reading/coercing tree models from
different sources ('rpart', 'RWeka', 'PMML') yielding objects that share
functionality for print()/plot()/predict() methods. Furthermore, new and improved
reimplementations of conditional inference trees (ctree()) and model-based
recursive partitioning (mob()) from the 'party' package are provided based
on the new infrastructure. A description of this package was published
by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.

Torsten Hothorn

partykit

A Toolkit for Recursive Partytioning

Heidi Seibold

Achim Zeileis

model_frame_rpart function

<dl> <dt>formula</dt>
<dd>an object of class <code><a href="/link/rpart?package=partykit&version=1.2-22" data-mini-rdoc="partykit::rpart">rpart</a></code>.</dd> <dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

A model.frame method for rpart objects.

Model Frame Method for rpart — model_frame_rpart

<dl>

 <dt>formula</dt>
<dd>an object of class <code><a href='https://rdrr.io/pkg/rpart/man/rpart.html'>rpart</a></code>.</dd>

 <dt>...</dt>
<dd>additional arguments.</dd>

</dl>

model_frame_rpart: Model Frame Method for rpart

Description

Usage

Value

Arguments

Details