Package: grmtree
Title: Recursive Partitioning for Graded Response Models
Version: 0.2.0
Date: 2026-07-01
Authors@R: c(person(given = "Olayinka I.", family = "Arimoro", role = c("aut", "cre"), email = "olayinka.arimoro@ucalgary.ca", comment = c(ORCID = "0009-0009-9464-589X")),
             person(given = "Tolulope T.", family = "Sajobi", role = "aut", email = "ttsajobi@ucalgary.ca"),
             person(given = "Lisa M.", family = "Lix", role = "aut", email = "Lisa.Lix@umanitoba.ca"),
             person(given = "Matthew T.", family = "James", role = "ctb", email = "mjames@ucalgary.ca"),
             person(given = "Maria", family = "Santana", role = "ctb", email = "mjsantan@ucalgary.ca"),
             person(given = "Emmanuel", family = "Ugochukwu", role = "ctb", email = "favour879@gmail.com"))
Maintainer: Olayinka I. Arimoro <olayinka.arimoro@ucalgary.ca>
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). The
        package also implements the Longitudinal GRMTree for detecting
        response shift in PROMs measured at two time points, embedding
        a constrained two-factor longitudinal GRM within recursive
        partitioning, with post-hoc characterization of recalibration
        and reprioritization. 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>.
License: GPL-3
Depends: R (>= 4.1.0), partykit (>= 1.2-9), mirt (>= 1.36.1)
Imports: stats, graphics, grid, ggplot2, rlang, strucchange
Suggests: hlt, dplyr, magrittr, testthat (>= 3.0.0), knitr, rmarkdown,
        psychotools, psychotree, psych
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.3
URL: https://github.com/Predicare1/grmtree
BugReports: https://github.com/Predicare1/grmtree/issues
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-02 21:30:41 UTC; root
Author: Olayinka I. Arimoro [aut, cre] (ORCID:
        <https://orcid.org/0009-0009-9464-589X>), Tolulope T. Sajobi
        [aut], Lisa M. Lix [aut], Matthew T. James [ctb], Maria Santana
        [ctb], Emmanuel Ugochukwu [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-02 07:00:37 UTC
RemoteUrl: https://github.com/cran/grmtree
RemoteRef: HEAD
RemoteSha: b56133138bf2260f3a4a29e715cfc7e64172bcb6