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Recursive partitioning based on psychometric models, employing the
general MOB algorithm (from package partykit).
bttree): Strobl C, Wickelmaier F,
Zeileis A (2011). “Accounting for Individual Differences in
Bradley-Terry Models by Means of Recursive Partitioning.” Journal of
Educational and Behavioral Statistics, 36(2),
135-153. doi:10.3102/1076998609359791raschtree): Strobl C, Kopf J, Zeileis A
(2015). “Rasch Trees: A New Method for Detecting Differential Item
Functioning in the Rasch Model.” Psychometrika,
80(2), 289-316. doi:10.1007/s11336-013-9388-3rstree/pctree): Komboz B, Zeileis A, Strobl C
(2018). “Tree-Based Global Model Tests for Polytomous Rasch Models.”
Educational and Psychological Measurement,
78(1), 128-166. doi:10.1177/0013164416664394mpttree): Wickelmaier F, Zeileis A (2018).
“Using Recursive Partitioning to Account for Parameter Heterogeneity in
Multinomial Processing Tree Models.” Behavior Research Methods,
50(3), 1217-1233. doi:10.3758/s13428-017-0937-znpltree),
including trees based on 1PL, 2PL, 3PL, and 4PL models.gpcmtree).The stable version of psychotree is available from CRAN:
install.packages("psychotree")The latest development version can be installed from R-universe:
install.packages("psychotree", repos = "https://zeileis.R-universe.dev")The package is available under the General Public License version 3 or version 2
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.