MPTinR2: Analyze Multinomial Processing Tree Models
Version 0.2.0

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.

AuthorHenrik Singmann, David Kellen, and Karl Christoph Klauer
Date of publication2013-01-27 23:40:30
MaintainerHenrik Singmann <henrik.singmann@psychologie.uni-freiburg.de>
LicenseGPL (>= 2)
Version0.2.0
URL http://www.psychologie.uni-freiburg.de/Members/singmann/R/mptinr
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MPTinR2", repos="http://R-Forge.R-project.org")

Popular man pages

bmpt-class: Class '"bmpt"'
d.broeder: Broeder & Schuetz (2009) Experiment 3
fit.mpt: Function to fit MPT models
generate.data: Generate data from MPT models.
make.mpt: Creates a MPT Model Object
MPTinR-package: Fit Multinomial Processing Tree Models
rb.fig1.data: Data to be used for the examples of MPTinR.
See all...

All man pages Function index File listing

Man pages

bmpt-class: Class '"bmpt"'
bmpt.model-class: Class '"bmpt.model"'
d.broeder: Broeder & Schuetz (2009) Experiment 3
fit.mpt: Function to fit MPT models
generate.data: Generate data from MPT models.
make.mpt: Creates a MPT Model Object
MPTinR-package: Fit Multinomial Processing Tree Models
parameters-methods: Parameter values for MPT models
rb.fig1.data: Data to be used for the examples of MPTinR.

Functions

Files

data
data/d.broeder.rda
data/rb.fig2.data.rda
data/rb.fig1.data.rda
R
R/make.model.R
R/mpt.classes.R
R/methods.for.restrictions.R
R/read.model.R
R/generate.data.R
R/write.model.R
R/fit.mpt.R
R/methods.for.fitted.models.R
R/make.mpt.helper.R
R/methods.for.models.R
R/show.methods.R
R/helper.functions.R
R/fit.mpt.helper.R
NAMESPACE
inst
inst/extdata
inst/extdata/broeder.1htm.restr.ineq
inst/extdata/broeder.1htm.restr
inst/extdata/broeder.2htm.restr.ineq
inst/extdata/rb.fig2.r.equal
inst/extdata/wmb.ex1.restr
inst/extdata/rb.fig2.model
inst/extdata/rb.fig1.model
inst/extdata/rb.fig1.model.eqn
inst/extdata/rb.fig2.c.equal
inst/extdata/5points.2htm.model
inst/extdata/rb.fig2.nobmpt.restr
inst/extdata/rb.fig2.nobmpt.model
inst/extdata/broeder.2htm.restr
inst/extdata/broeder.2htm.ineq
inst/extdata/wmb.ex1.model
DESCRIPTION
ChangeLog
man
man/parameters-methods.Rd
man/d.broeder.Rd
man/generate.data.Rd
man/make.mpt.Rd
man/rb.fig1.data.Rd
man/fit.mpt.Rd
man/bmpt.model-class.Rd
man/bmpt-class.Rd
man/MPTinR-package.Rd
src
src/onehess.f
src/onetrans.f
NEWS
MPTinR2 documentation built on May 21, 2017, 12:26 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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