MPTinR: Analyze Multinomial Processing Tree Models

MPTinR 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 contextree language for MPTs. The 'classical' .EQN file format for model files is also supported. Besides MPTs, MPTinR can fit a wide variety of other cognitive models such as SDT models (see fit.model). MPTinR supports multicore fitting and FIA calculation using the snowfall package. MPTinR can generate data from a model for e.g., simulation or parametric bootstrap and plot predicted versus observed data.

Version: 1.3.5
Depends: R (≥ 2.14.0), numDeriv
Imports: Brobdingnag
LinkingTo: RcppEigen, Rcpp
Suggests: snowfall (≥ 1.84), RcppEigen, Rcpp
Published: 2014-04-12
Author: Henrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb]
Maintainer: Henrik Singmann <henrik.singmann at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: MPTinR citation info
Materials: NEWS ChangeLog
In views: Psychometrics
CRAN checks: MPTinR results


Reference manual: MPTinR.pdf
Package source: MPTinR_1.3.5.tar.gz
OS X binary: MPTinR_1.3.5.tgz
Windows binary:
Old sources: MPTinR archive