mpt: Multinomial Processing Tree Models

Fitting and testing multinomial processing tree (MPT) models, a class of nonlinear models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999 <doi:10.3758/bf03210812>; Erdfelder et al., 2009 <doi:10.1027/0044-3409.217.3.108>; Riefer & Batchelder, 1988 <doi:10.1037/0033-295x.95.3.318>).

Version: 0.6-2
Depends: R (≥ 3.5.0), stats
Imports: graphics, utils
Published: 2020-05-01
Author: Florian Wickelmaier [aut, cre], Achim Zeileis ORCID iD [aut]
Maintainer: Florian Wickelmaier <wickelmaier at web.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.mathpsy.uni-tuebingen.de/wickelmaier
NeedsCompilation: no
Citation: mpt citation info
Materials: ChangeLog
In views: Psychometrics
CRAN checks: mpt results

Downloads:

Reference manual: mpt.pdf
Package source: mpt_0.6-2.tar.gz
Windows binaries: r-devel: mpt_0.6-2.zip, r-release: mpt_0.6-2.zip, r-oldrel: mpt_0.6-2.zip
macOS binaries: r-release: mpt_0.6-2.tgz, r-oldrel: mpt_0.6-2.tgz
Old sources: mpt archive

Reverse dependencies:

Reverse depends: Metatron

Linking:

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