initialization

This function randomy initializes the segmentation.

internal

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

initialization function

<dl><dt>K</dt>
<dd>The number of segments to start with (maximum number of segments there'll be in the end).</dd>
<dt>n</dt>
<dd>The number of observations to draw.</dd></dl>

Arguments

Author

Random initialization of the segmentation — initialization

<dl>

<dt>K</dt>
<dd>The number of segments to start with (maximum number of segments there'll be in the end).</dd>


<dt>n</dt>
<dd>The number of observations to draw.</dd>

</dl>

initialization: Random initialization of the segmentation

Description

Usage

Value

Arguments

Author