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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0), partykit (≥ 1.2-9), mirt (≥ 1.36.1) |
| Imports: | stats, graphics, grid, dplyr, ggplot2, rlang, magrittr, strucchange |
| Suggests: | hlt, testthat (≥ 3.0.0), knitr, rmarkdown, psychotools, psychotree, psych |
| Published: | 2026-01-14 |
| DOI: | 10.32614/CRAN.package.grmtree (may not be active yet) |
| Author: | Olayinka I. Arimoro
|
| Maintainer: | Olayinka I. Arimoro <olayinka.arimoro at ucalgary.ca> |
| BugReports: | https://github.com/Predicare1/grmtree/issues |
| License: | GPL-3 |
| URL: | https://github.com/Predicare1/grmtree |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | grmtree results |
| Reference manual: | grmtree.html , grmtree.pdf |
| Vignettes: |
GRM Forests for Robust DIF Detection (source, R code) Getting Started with the grmtree Package (source, R code) |
| Package source: | grmtree_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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