Fact.partitions

This function is used to find all the unique partitions of k factors into 2 groups

internal

Based on random forest principle, 'DynForest' is able to include
multiple longitudinal predictors to provide individual predictions.
Longitudinal predictors are modeled through the random forest. The
methodology is fully described for a survival outcome in:
Devaux, Helmer, Genuer & Proust-Lima (2023)
<doi: 10.1177/09622802231206477>.

Anthony Devaux

DynForest

Random Forest with Multivariate Longitudinal Predictors

Robin Genuer

Cécile Proust-Lima

Louis Capitaine

Fact.partitions function

<dl><dt>Factor</dt>
<dd>Character vector</dd>
<dt>id</dt>
<dd>List of id</dd></dl>

Arguments

Factor partitions finder — Fact.partitions

<dl>

<dt>Factor</dt>
<dd>Character vector</dd>


<dt>id</dt>
<dd>List of id</dd>

</dl>

Fact.partitions: Factor partitions finder

Description

Usage

Arguments