extree_fit

Basic infrastructure for fitting extensible trees.

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

extree_fit function

<dl> <dt>data</dt>
<dd>an object of class <code>extree_data</code>, see
<code>extree_data</code>.</dd> <dt>trafo</dt>
<dd>a function with arguments <code>subset</code>, <code>weights</code>,
<code>info</code>, <code>estfun</code> and <code>object</code>.</dd> <dt>converged</dt>
<dd>a function with arguments <code>subset</code>, <code>weights</code>.</dd> <dt>selectfun</dt>
<dd>an optional function for selecting variables.</dd> <dt>splitfun</dt>
<dd>an optional function for selecting splits.</dd> <dt>svselectfun</dt>
<dd>an optional function for selecting surrogate variables.</dd> <dt>svsplitfun</dt>
<dd>an optional function for selecting surrogate splits.</dd> <dt>partyvars</dt>
<dd>a numeric vector assigning a weight to each partitioning
variable (<code>z</code> in <code>extree_data</code>.</dd> <dt>subset</dt>
<dd>a sorted integer vector describing a subset.</dd> <dt>weights</dt>
<dd>an optional vector of weights.</dd> <dt>ctrl</dt>
<dd>control arguments.</dd> <dt>doFit</dt>
<dd>a logical indicating if the tree shall be grown (<code>TRUE</code>)
or not <code>FALSE</code>.</dd></dl>

Arguments

Fit Extensible Trees. — extree_fit

<dl>

 <dt>data</dt>
<dd>an object of class <code>extree_data</code>, see
<code>extree_data</code>.</dd>

 <dt>trafo</dt>
<dd>a function with arguments <code>subset</code>, <code>weights</code>,
<code>info</code>, <code>estfun</code> and <code>object</code>.</dd>

 <dt>converged</dt>
<dd>a function with arguments <code>subset</code>, <code>weights</code>.</dd>

 <dt>selectfun</dt>
<dd>an optional function for selecting variables.</dd>

 <dt>splitfun</dt>
<dd>an optional function for selecting splits.</dd>

 <dt>svselectfun</dt>
<dd>an optional function for selecting surrogate variables.</dd>

 <dt>svsplitfun</dt>
<dd>an optional function for selecting surrogate splits.</dd>

 <dt>partyvars</dt>
<dd>a numeric vector assigning a weight to each partitioning
variable (<code>z</code> in <code>extree_data</code>.</dd>

 <dt>subset</dt>
<dd>a sorted integer vector describing a subset.</dd>

 <dt>weights</dt>
<dd>an optional vector of weights.</dd>

 <dt>ctrl</dt>
<dd>control arguments.</dd>

 <dt>doFit</dt>
<dd>a logical indicating if the tree shall be grown (<code>TRUE</code>)
or not <code>FALSE</code>.</dd>

</dl>

extree_fit: Fit Extensible Trees.

Description

Usage

Value

Arguments

Details