Package: MPTinR 1.14.1

MPTinR: Analyze Multinomial Processing Tree Models

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.

Authors:Henrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb]

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MPTinR.pdf |MPTinR.html✨
MPTinR/json (API)
NEWS

# Install 'MPTinR' in R:
install.packages('MPTinR', repos = c('https://singmann.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • d.broeder - Broeder & Schuetz (2009) Experiment 3
  • rb.fig1.data - Data to be used for the examples of MPTinR.
  • rb.fig2.data - Data to be used for the examples of MPTinR.
  • roc6 - Recognition memory ROCs used by Klauer & Kellen
  • roc8 - Recognition memory ROCs used by Klauer & Kellen

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

17 exports 3 stars 1.64 score 6 dependencies 1 dependents 4 mentions 26 scripts 474 downloads

Last updated 3 years agofrom:51e244f2ae. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64NOTESep 08 2024
R-4.5-linux-x86_64NOTESep 08 2024
R-4.4-win-x86_64NOTESep 08 2024
R-4.4-mac-x86_64NOTESep 08 2024
R-4.4-mac-aarch64NOTESep 08 2024
R-4.3-win-x86_64OKSep 08 2024
R-4.3-mac-x86_64OKSep 08 2024
R-4.3-mac-aarch64OKSep 08 2024

Exports:bmpt.fiacheck.mptfit.modelfit.mptfit.mpt.oldfit.mptinrgen.datagen.predictionsget.mpt.fialbmpt.to.mptmake.eqnmake.mdtmake.mpt.cfprediction.plotprepare.mpt.fiasample.dataselect.mpt

Dependencies:BrobdingnaglatticeMatrixnumDerivRcppRcppEigen

MPTinR: Analysis of Multinomial Processing Tree Models

Rendered frommptinr_introduction.Rnwusingknitr::knitron Sep 08 2024.

Last update: 2021-07-13
Started: 2015-06-12