glmdisc-class

Class <code>glmtree</code> represents a logistic regression tree scheme associated with its optimal logistic regression models.

A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <https://github.com/adimajo/manuscrit_these/releases/>.

Adrien Ehrhardt

glmtree

Logistic Regression Trees

glmdisc-class function

<dl>
<dt><code>parameters</code></dt>
<dd>The parameters associated with the method.</dd></dl>
<dt><code>best.tree</code></dt>
<dd>The best discretization scheme found by the method given its parameters.</dd>
<dt><code>performance</code></dt>
<dd>The performance obtained with the method given its parameters.</dd>

Slots

Class glmtree — glmdisc-class

<dl>
<dt><code>parameters</code></dt>
<dd>The parameters associated with the method.</dd>


<dt><code>best.tree</code></dt>
<dd>The best discretization scheme found by the method given its parameters.</dd>


<dt><code>performance</code></dt>
<dd>The performance obtained with the method given its parameters.</dd>


</dl>

glmdisc-class: Class glmtree

Description

Arguments

Slots