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grmtree  

Recursive Partitioning for Graded Response Models
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Download and install grmtree package within the R console
Install from CRAN:
install.packages("grmtree")

Install from Github:
library("remotes")
install_github("cran/grmtree")

Install by package version:
library("remotes")
install_version("grmtree", "0.1.0")



Attach the package and use:
library("grmtree")
Maintained by
Olayinka I. Arimoro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-14
Latest Update: 2026-01-14
Description:
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>.
How to cite:
Olayinka I. Arimoro (2026). grmtree: Recursive Partitioning for Graded Response Models. R package version 0.1.0, https://cran.r-project.org/web/packages/grmtree. Accessed 17 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:45), 0.1.0 (2026-01-14 19:00)
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Complete documentation for grmtree
Functions, R codes and Examples using the grmtree R package
Full grmtree package functions and examples
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