Recursive Partitioning Based on Psychometric Models

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.

Recursive Partitioning Based on Psychometric Models

Overview

Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit).

• Bradley-Terry trees (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:10.3102/1076998609359791
• Rasch trees (raschtree): 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/s11336-013-9388-3
• Rating scale trees and partial credit trees (rstree/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:10.1177/0013164416664394
• MPT trees (mpttree): 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-z
• Parametric logisitic (n-PL) IRT model trees (npltree), including trees based on 1PL, 2PL, 3PL, and 4PL models.
• Generalized partial credit model trees (gpcmtree).

Installation

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")

License

The package is available under the General Public License version 3 or version 2