This is a completely new version of a package for the analysis of multinomial processing tree (MPT) models (e.g., Riefer, D. M., and Batchelder, W. H. . Multinomial modeling and the measurement of cognitive processes. Psychological Review, 95, 318-339) for individual and multi-individual data. This version is based on formal S4 classes and methods and contains a EM fitting algorithm written in Fortran. However, this version is still under heavy development, but the fitting is already functional and a lot faster. See ?fit.mpt and ?make.mpt for more details.
|Author||Henrik Singmann, David Kellen, and Karl Christoph Klauer|
|Date of publication||2013-01-27 23:40:30|
|Maintainer||Henrik Singmann <firstname.lastname@example.org>|
|License||GPL (>= 2)|
bmpt-class: Class '"bmpt"'
bmpt.model-class: Class '"bmpt.model"'
d.broeder: Broeder & Schuetz (2009) Experiment 3
fit.mpt: Function to fit MPT models
generate.data: Generate data from MPT models.
make.mpt: Creates a MPT Model Object
MPTinR-package: Fit Multinomial Processing Tree Models
parameters-methods: Parameter values for MPT models
rb.fig1.data: Data to be used for the examples of MPTinR.