MPTinR (1.1.8)

Analyze Multinomial Processing Tree Models.

http://www.psychologie.uni-freiburg.de/Members/singmann/R/mptinr
http://cran.r-project.org/web/packages/MPTinR

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 specified in external files or within an R script in an intuitive syntax. 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 generating from a model for e.g., parametric bootstrap and plot predicted versus observed data.

Maintainer: Henrik Singmann
Author(s): Henrik Singmann, David Kellen, and Christian Mueller

License: GPL (>= 2)

Uses: numDeriv, Rcpp, RcppEigen, snowfall

Released over 6 years ago.