.prepare_args

Prepare input for ctree/cforest from input of pmtree/pmforest

Model-based trees for subgroup analyses in clinical trials and
model-based forests for the estimation and prediction of personalised
treatment effects (personalised models). Currently partitioning of linear
models, lm(), generalised linear models, glm(), and Weibull models,
survreg(), is supported. Advanced plotting functionality is supported for
the trees and a test for parameter heterogeneity is provided for the
personalised models. For details on model-based trees for subgroup analyses
see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for
details on model-based forests for estimation of individual treatment effects
see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.

Heidi Seibold

model4you

Stratified and Personalised Models Based on Model-Based Trees
and Forests

Achim Zeileis

Torsten Hothorn

.prepare_args function

<dl><dt>model</dt>
<dd>model.</dd>
<dt>data</dt>
<dd>an optional data frame.</dd>
<dt>zformula</dt>
<dd>ormula describing which variable should be used for partitioning.</dd>
<dt>control</dt>
<dd>ontrol parameters, see <code>ctree_control</code>.</dd>
<dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Prepare input for ctree/cforest from input of pmtree/pmforest — .prepare_args

<dl>

<dt>model</dt>
<dd>model.</dd>


<dt>data</dt>
<dd>an optional data frame.</dd>


<dt>zformula</dt>
<dd>ormula describing which variable should be used for partitioning.</dd>


<dt>control</dt>
<dd>ontrol parameters, see <code>ctree_control</code>.</dd>


<dt>...</dt>
<dd>other arguments.</dd>

</dl>

.prepare_args: Prepare input for ctree/cforest from input of pmtree/pmforest

Description

Usage

Value

Arguments