print.grmforest

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

print.grmforest function

<dl><dt>x</dt>
<dd>A <code>grmforest</code> object</dd>
<dt>...</dt>
<dd>Additional arguments (currently unused)</dd></dl>

Arguments

Print Method for GRM Forest — print.grmforest

<dl>

<dt>x</dt>
<dd>A <code>grmforest</code> object</dd>


<dt>...</dt>
<dd>Additional arguments (currently unused)</dd>

</dl>

Print Method for GRM Forest

print.grmforest: Print Method for GRM Forest

Description

Usage

Value

Arguments