partial.predict

Alternative prediction function for <code>logic.boosted</code> models
using up to <code>n.iter</code> boosting iterations.
An array of predictions for every number of boosting iterations
up to <code>n.iter</code> is returned.

A statistical learning method that tries to find the best set
of predictors and interactions between predictors for modeling binary or
quantitative response data in a decision tree. Several search algorithms
and ensembling techniques are implemented allowing for finetuning the
method to the specific problem. Interactions with quantitative
covariables can be properly taken into account by fitting local
regression models. Moreover, a variable importance measure for assessing
marginal and interaction effects is provided. Implements the
procedures proposed by Lau et al. (2024, <doi:10.1007/s10994-023-06488-6>).

Michael Lau

logicDT

Identifying Interactions Between Binary Predictors

partial.predict function

<dl><dt>model</dt>
<dd>Fitted <code>logic.boosted</code> model</dd>
<dt>X</dt>
<dd>Matrix or data frame of binary input data.
This object should correspond to the binary matrix for fitting the model.</dd>
<dt>Z</dt>
<dd>Optional quantitative covariables supplied as a matrix or
data frame. Only used (and required) if the model was fitted using them.</dd>
<dt>n.iter</dt>
<dd>Maximum number of boosting iterations for prediction</dd>
<dt>...</dt>
<dd>Parameters supplied to <code>predict.logicDT</code></dd></dl>

Arguments

Partial prediction for boosted models — partial.predict

<dl>

<dt>model</dt>
<dd>Fitted <code>logic.boosted</code> model</dd>


<dt>X</dt>
<dd>Matrix or data frame of binary input data.
This object should correspond to the binary matrix for fitting the model.</dd>


<dt>Z</dt>
<dd>Optional quantitative covariables supplied as a matrix or
data frame. Only used (and required) if the model was fitted using them.</dd>


<dt>n.iter</dt>
<dd>Maximum number of boosting iterations for prediction</dd>


<dt>...</dt>
<dd>Parameters supplied to <code>predict.logicDT</code></dd>

</dl>

partial.predict: Partial prediction for boosted models

Description

Usage

Value

Arguments

Details