Analyze Multinomial Processing Tree Models CRAN Task View: Psychometrics (http://CRAN.R-project.org/view=Psychometrics) 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 using the snowfall package. Software Depends: R (>= 2.11.0), numDeriv Suggests: snowfall (>= 1.84) Henrik Singmann <henrik.singmann@psychologie.uni-freiburg.de> Henrik Singmann and David Kellen GPL (>= 2) 2012-04-19 application/tgz http://CRAN.R-project.org/package=MPTinR