MPTinR-package: Analyze Multinomial Processing Tree Models
In MPTinR: Analyze Multinomial Processing Tree Models

Description Details References

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.

The DESCRIPTION file: This package was not yet installed at build time.
Index: This package was not yet installed at build time.

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

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

Singmann, H., & Kellen, D. (2013). MPTinR: Analysis of multinomial processing tree models in R. Behavior Research Methods, 45(2), 560-575. doi: 10.3758/s13428-012-0259-0

MPTinR documentation built on July 13, 2021, 5:07 p.m.