apply_to_models

Applies a function to the GRM models in specified nodes of a tree.
This is an internal helper function and not meant to be called directly.

internal

Provides methods for recursive partitioning based on the
'Graded Response Model' ('GRM'), extending the 'MOB' algorithm from the
'partykit' package. The package allows for fitting
'GRM' trees that partition the population into homogeneous
subgroups based on item response patterns and covariates.
Includes specialized plotting functions for visualizing 'GRM' trees
with different terminal node displays (threshold regions,
parameter profiles, and factor score distributions).
For more details on the methods, see Samejima (1969) <doi:10.1002/J.2333-8504.1968.TB00153.X>, Komboz et al. (2018) <doi:10.1177/0013164416664394> and Arimoro et al. (2025) <doi:10.1007/s11136-025-04018-6>.

Olayinka I. Arimoro

grmtree

Recursive Partitioning for Graded Response Models

Tolulope T. Sajobi

Lisa M. Lix

Matthew T. James

Maria Santana

Emmanuel Ugochukwu

apply_to_models function

<dl><dt>object</dt>
<dd>A <code>grmtree</code> object.</dd>
<dt>node</dt>
<dd>Vector of node IDs (default: all nodes).</dd>
<dt>FUN</dt>
<dd>Function to apply to each model.</dd>
<dt>drop</dt>
<dd>Logical indicating whether to drop list structure if length 1.</dd>
<dt>...</dt>
<dd>Additional arguments passed to FUN.</dd></dl>

Arguments

Internal Function: Apply Function to Models in Nodes — apply_to_models

<dl>

<dt>object</dt>
<dd>A <code>grmtree</code> object.</dd>


<dt>node</dt>
<dd>Vector of node IDs (default: all nodes).</dd>


<dt>FUN</dt>
<dd>Function to apply to each model.</dd>


<dt>drop</dt>
<dd>Logical indicating whether to drop list structure if length 1.</dd>


<dt>...</dt>
<dd>Additional arguments passed to FUN.</dd>

</dl>

apply_to_models: Internal Function: Apply Function to Models in Nodes

Description

Usage

Value

Arguments