Recursive Partitioning Based on Psychometric Models R package psychotree version 0.16-3 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees, trees for 1PL, 2PL, 3PL and 4PL models and generalized partial credit models. Software Depends: R (>= 4.0.0), partykit (>= 1.2-9), psychotools (>= 0.7-1) Imports: graphics, grDevices, grid, stats, Formula Suggests: stablelearner (>= 0.1-3), strucchange, mirt, tinytest, knitr, rmarkdown Achim Zeileis <Achim.Zeileis@R-project.org> Comprehensive R Archive Network (CRAN) Achim Zeileis [aut, cre] (ORCID: <https://orcid.org/0000-0003-0918-3766>), Carolin Strobl [aut] (ORCID: <https://orcid.org/0000-0003-0952-3230>), Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] (ORCID: <https://orcid.org/0000-0003-4152-5308>), David Dreifuss [aut], Rudolf Debelak [aut] (ORCID: <https://orcid.org/0000-0001-8900-2106>) GPL-2 GPL-3 2026-08-03 application/tgz https://CRAN.R-project.org/package=psychotree doi:10.32614/CRAN.package.psychotree