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.

Install the latest version of this package by entering the following in R:
install.packages("MPTinR")
AuthorHenrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb]
Date of publication2015-07-27 23:43:11
MaintainerHenrik Singmann <singmann+mptinr@gmail.com>
LicenseGPL (>= 2)
Version1.10.3

View on CRAN

Files

inst
inst/CITATION
inst/extdata
inst/extdata/rb.fig2.r.equal
inst/extdata/broeder.1htm.restr.ineq
inst/extdata/broeder.sdt.model
inst/extdata/broeder.2htm.ineq
inst/extdata/rb.fig1.model
inst/extdata/rb.fig2.c.equal
inst/extdata/wmb.ex1.restr
inst/extdata/rb.fig2.model
inst/extdata/broeder.1htm.restr
inst/extdata/wmb.ex1.model
inst/extdata/rb.fig1.model.eqn
inst/extdata/broeder.2htm.restr.ineq
inst/extdata/5points.2htm.model
inst/extdata/broeder.2htm.restr
inst/doc
inst/doc/mptinr_introduction.Rnw
inst/doc/mptinr_introduction.pdf
inst/doc/mptinr_introduction.R
src
src/RcppExports.cpp
src/determinant_c.cpp
src/determinant.cpp
NAMESPACE
NEWS
data
data/rb.fig1.data.rda
data/roc6.rda
data/rb.fig2.data.rda
data/d.broeder.rda
data/roc8.rda
R
R/fit.mpt.R R/read.MPT.model.R R/get.mpt.fia.R R/make.mpt.cf.R R/fit.mptinr.R R/DF.n.get.R R/predict.model.R R/fit.model.R R/read.MPT.restrictions.R R/llk.gradient.hessian.R R/read.EQN.model.R R/make.eqn.R R/lbmpt.to.bmpt.R R/read.EQN.model.2.R R/RcppExports.R R/check.mpt.R R/prepare.mpt.fia.R R/prediction.plot.R R/bmpt.fia.R R/apply.MPT.restrictions.R R/check.MPT.probabilities.R R/get.mpt.model.R R/fit.mpt.old.R R/find.MPT.params.R R/select.mpt.R R/make.model.df.R
vignettes
vignettes/mptinr_introduction.Rnw
vignettes/MPT.bib
vignettes/Figure1.pdf
MD5
build
build/vignette.rds
DESCRIPTION
man
man/prepare.mpt.fia.Rd man/rocs.Rd man/make.eqn.Rd man/get.mpt.fia.Rd man/fit.mpt.Rd man/gen.data.Rd man/MPTinR-package.Rd man/fit.mptinr.Rd man/bmpt.fia.Rd man/make.mpt.cf.Rd man/fit.model.Rd man/rb.fig1.data.Rd man/check.mpt.Rd man/d.broeder.Rd man/fit.mpt.old.Rd man/prediction.plot.Rd man/select.mpt.Rd

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

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.