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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.
Version: | 1.14.1 |
Depends: | R (≥ 2.15.1) |
Imports: | numDeriv, Brobdingnag, Rcpp, stats, utils |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | snowfall (≥ 1.84), knitr |
Published: | 2023-12-07 |
DOI: | 10.32614/CRAN.package.MPTinR |
Author: | Henrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb] |
Maintainer: | Henrik Singmann <singmann at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | MPTinR citation info |
Materials: | NEWS |
In views: | Psychometrics |
CRAN checks: | MPTinR results |
Reference manual: | MPTinR.pdf |
Vignettes: |
MPTinR: Analysis of Multinomial Processing Tree Models |
Package source: | MPTinR_1.14.1.tar.gz |
Windows binaries: | r-devel: MPTinR_1.14.1.zip, r-release: MPTinR_1.14.1.zip, r-oldrel: MPTinR_1.14.1.zip |
macOS binaries: | r-release (arm64): MPTinR_1.14.1.tgz, r-oldrel (arm64): MPTinR_1.14.1.tgz, r-release (x86_64): MPTinR_1.14.1.tgz, r-oldrel (x86_64): MPTinR_1.14.1.tgz |
Old sources: | MPTinR archive |
Reverse imports: | MPTmultiverse |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.