MPTinR: Analyze Multinomial Processing Tree Models

Provides a user-friendly way for the analysis of multinomial processing tree (MPT) models (e.g., Riefer, D. M., and Batchelder, W. H. [1988]. Multinomial modeling and the measurement of cognitive processes. Psychological Review, 95, 318-339) for single and multiple datasets. The main functions perform model fitting and model selection. Model selection can be done using AIC, BIC, or the Fisher Information Approximation (FIA) a measure based on the Minimum Description Length (MDL) framework. The model and restrictions can be specified in external files or within an R script in an intuitive syntax or using the context-free language for MPTs. The 'classical' .EQN file format for model files is also supported. Besides MPTs, this package can fit a wide variety of other cognitive models such as SDT models (see fit.model). It also supports multicore fitting and FIA calculation (using the snowfall package), can generate or bootstrap data for simulations, and plot predicted versus observed data.

Version: 1.14.1
Depends: R (≥ 2.15.1)
Imports: numDeriv, Brobdingnag, Rcpp, stats, utils
LinkingTo: Rcpp, RcppEigen
Suggests: snowfall (≥ 1.84), knitr
Published: 2023-12-07
DOI: 10.32614/CRAN.package.MPTinR
Author: Henrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb]
Maintainer: Henrik Singmann <singmann at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: MPTinR citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: MPTinR results


Reference manual: MPTinR.pdf
Vignettes: MPTinR: Analysis of Multinomial Processing Tree Models


Package source: MPTinR_1.14.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MPTinR_1.14.1.tgz, r-oldrel (arm64): MPTinR_1.14.1.tgz, r-release (x86_64): MPTinR_1.14.1.tgz, r-oldrel (x86_64): MPTinR_1.14.1.tgz
Old sources: MPTinR archive

Reverse dependencies:

Reverse imports: MPTmultiverse


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