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MPTinR
View on CRAN: Click
here
Download and install MPTinR package within the R console
Install from CRAN:
install.packages("MPTinR")
Install from Github:
library("remotes")
install_github("cran/MPTinR")
Install by package version:
library("remotes")
install_version("MPTinR", "1.14.1")
Attach the package and use:
library("MPTinR")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.MPTinR . MPTinR citation info . MPTinR results . MPTinR.pdf . MPTinR: Analysis of Multinomial Processing Tree Models . MPTinR_1.14.1.tar.gz . MPTinR_1.14.1.zip . MPTinR_1.14.1.zip . MPTinR_1.14.1.zip . MPTinR_1.14.1.tgz . MPTinR_1.14.1.tgz . MPTinR_1.14.1.tgz . MPTinR_1.14.1.tgz . MPTinR archive . https://CRAN.R-project.org/package=MPTinR .
First Published: 2011-11-22
Latest Update: 2021-07-13
Description:
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.
How to cite:
Henrik Singmann (2011). MPTinR: Analyze Multinomial Processing Tree Models. R package version 1.14.1, https://cran.r-project.org/web/packages/MPTinR. Accessed 16 Apr. 2025.
Previous versions and publish date:
0.6.5 (2011-11-22 13:19), 0.8.10 (2012-04-19 15:41), 0.9.4 (2012-07-23 07:28), 1.0.1 (2013-02-07 13:31), 1.1.8 (2013-05-23 14:45), 1.2.5 (2013-11-25 20:54), 1.3.5 (2014-04-12 00:58), 1.4.0 (2014-05-10 15:17), 1.5.1 (2014-08-08 01:19), 1.6.3 (2014-10-21 16:58), 1.7.5 (2015-03-22 22:51), 1.8.0 (2015-05-01 00:55), 1.9.2 (2015-06-14 01:24), 1.10.3 (2015-07-27 23:43), 1.11.0 (2018-06-23 19:08), 1.12.0 (2019-12-14 18:40), 1.13.0 (2020-08-27 00:50)
Other packages that cited MPTinR R package
View MPTinR citation profile
Other R packages that MPTinR depends,
imports, suggests or enhances
Complete documentation for MPTinR
Functions, R codes and Examples using
the MPTinR R package
Some associated functions: MPTinR-package . bmpt.fia . check.mpt . d.broeder . fit.model . fit.mpt . fit.mpt.old . fit.mptinr . gen.data . get.mpt.fia . make.eqn . make.mpt.cf . prediction.plot . prepare.mpt.fia . rb.fig1.data . rocs . select.mpt .
Some associated R codes: DF.n.get.R . RcppExports.R . apply.MPT.restrictions.R . bmpt.fia.R . check.MPT.probabilities.R . check.mpt.R . find.MPT.params.R . fit.model.R . fit.mpt.R . fit.mpt.old.R . fit.mptinr.R . get.mpt.fia.R . get.mpt.model.R . lbmpt.to.bmpt.R . llk.gradient.hessian.R . make.eqn.R . make.model.df.R . make.mpt.cf.R . predict.model.R . prediction.plot.R . prepare.mpt.fia.R . read.EQN.model.2.R . read.EQN.model.R . read.MPT.model.R . read.MPT.restrictions.R . select.mpt.R . Full MPTinR package functions and examples
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