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]

MPTinR_1.14.1.tar.gz
MPTinR_1.14.1.zip(r-4.7)MPTinR_1.14.1.zip(r-4.6)MPTinR_1.14.1.zip(r-4.5)
MPTinR_1.14.1.tgz(r-4.6-x86_64)MPTinR_1.14.1.tgz(r-4.6-arm64)MPTinR_1.14.1.tgz(r-4.5-x86_64)MPTinR_1.14.1.tgz(r-4.5-arm64)
MPTinR_1.14.1.tar.gz(r-4.7-arm64)MPTinR_1.14.1.tar.gz(r-4.7-x86_64)MPTinR_1.14.1.tar.gz(r-4.6-arm64)MPTinR_1.14.1.tar.gz(r-4.6-x86_64)
MPTinR_1.14.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MPTinR/json (API)
NEWS

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

Conda:

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

cpp

4.18 score 3 stars 1 packages 42 scripts 418 downloads 4 mentions 17 exports 6 dependencies

Last updated from:51e244f2ae. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE152
linux-devel-x86_64NOTE155
source / vignettesOK256
linux-release-arm64NOTE147
linux-release-x86_64NOTE135
macos-release-arm64NOTE163
macos-release-x86_64NOTE328
macos-oldrel-arm64NOTE128
macos-oldrel-x86_64NOTE219
windows-develNOTE149
windows-releaseNOTE148
windows-oldrelNOTE155
wasm-releaseOK107

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 May 20 2026.

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