getParamMM

Function to update the list of parameters for each marker using those estimated from previous node

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

getParamMM function

<dl><dt>current_node</dt>
<dd>Current node of the tree</dd>
<dt>markers</dt>
<dd>Character vector indicating the name of the markers to be updated</dd>
<dt>params</dt>
<dd>List to be updated for the current node</dd></dl>

Arguments

Function to update the list of parameters for each marker using those estimated from previous node — getParamMM

<dl>

<dt>current_node</dt>
<dd>Current node of the tree</dd>


<dt>markers</dt>
<dd>Character vector indicating the name of the markers to be updated</dd>


<dt>params</dt>
<dd>List to be updated for the current node</dd>

</dl>

getParamMM: Function to update the list of parameters for each marker using those estimated from previous node

Description

Usage

Value

Arguments