MPTinR-package: Fit Multinomial Processing Tree Models

In MPTinR: Analyze Multinomial Processing Tree Models

Description

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, 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.

Details

Package:	MPTinR
Type:	Package
Version:	1.8.0
Date:	2015-04-28
License:	GPL (>= 2)
LazyLoad:	yes

To fit MPT Models use fit.mpt, to fit other models use fit.model or fit.mptinr (which is called by the other two functions).

For model selection use select.mpt.

A helper function for writing model files is check.mpt

Author(s)

Henrik Singmann (for bug reports and feature requests): [e-mail]
David Kellen
Quentin Gronau
Franz Dietrich
Christian Mueller

Maintainer: Henrik Singmann <[e-mail]>

References

Riefer, D. M., & Batchelder, W. H. (1988). Multinomial modeling and the measurement of cognitive processes. Psychological Review, 95, 318-339

MPTinR documentation built on May 2, 2019, 5:48 p.m.