extree_fit

an object of class <code>extree_data</code>, see
<code><a rd-options="" href="/link/extree_data?package=partykit&version=1.2-16" data-mini-rdoc="partykit::extree_data">extree_data</a></code>.

data

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

trafo

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

converged

an optional function for selecting variables.

selectfun

an optional function for selecting splits.

splitfun

an optional function for selecting surrogate variables.

svselectfun

an optional function for selecting surrogate splits.

svsplitfun

a numeric vector assigning a weight to each partitioning
variable (<code>z</code> in <code><a rd-options="" href="/link/extree_data?package=partykit&version=1.2-16" data-mini-rdoc="partykit::extree_data">extree_data</a></code>.

partyvars

a sorted integer vector describing a subset.

subset

weights

ctrl

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

doFit

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