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Contributed R Packages

Below is a list of all packages provided by project MPTinR.

Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).

Packages

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.
  Version: 1.10.3 | Last change: 2015-07-27 21:11:44+02 | Rev.: 168
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current | Stable Release: Get MPTinR 1.14.1 from CRAN
  R install command: install.packages("MPTinR", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)


MPTinR2

Analyze Multinomial Processing Tree Models

  This is a completely new version of a package 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 individual and multi-individual data. This version is based on formal S4 classes and methods and contains a EM fitting algorithm written in Fortran. However, this version is still under heavy development, but the fitting is already functional and a lot faster. See ?fit.mpt and ?make.mpt for more details.
  Version: 0.2.0 | Last change: 2013-01-28 00:40:30+01 | Rev.: 81
  Download: linux(.tar.gz) | windows(.zip) | Build status: Current
  R install command: install.packages("MPTinR2", repos="http://R-Forge.R-project.org")
 
Logs:  
Package build: Source package (Linux x86_64) Windows binary (x86_64/i386)
Package check: Linux x86_64 (patched) | Linux x86_64 (devel) Windows (patched) | Windows (devel)

 

Build status codes

0 - Current: the package is available for download. The corresponding package passed checks on the Linux and Windows platform without ERRORs.
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