MPTinR (1.10.3)

0 users

Analyze Multinomial Processing Tree Models.

http://cran.r-project.org/web/packages/MPTinR

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.

Maintainer: Henrik Singmann
Author(s): Henrik Singmann [aut, cre], David Kellen [aut], Quentin Gronau [aut], Christian Mueller [ctb], Akhil S Bhel [ctb]

License: GPL (>= 2)

Uses: Brobdingnag, numDeriv, Rcpp, snowfall, knitr

Released over 1 year ago.


13 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of MPTinR yet. Want to be the first? Write one now.


Related packages: FactoMineR, GPArotation, MBESS, MCMCpack, MLDS, PTAk, RaschSampler, SensoMineR, VGAM, ade4, betareg, ca, cocorresp, e1071, eRm, eba, ecodist, elasticnet, fastICA, flexmix(20 best matches, based on common tags.)


Search for MPTinR on google, google scholar, r-help, r-devel.

Visit MPTinR on R Graphical Manual.