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mpt (version 0.6-2)

Multinomial Processing Tree Models

Description

Fitting and testing multinomial processing tree (MPT) models, a class of nonlinear models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999 ; Erdfelder et al., 2009 ; Riefer & Batchelder, 1988 ).

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Version

Install

install.packages('mpt')

Monthly Downloads

302

Version

0.6-2

License

GPL (>= 2)

Maintainer

Florian Wickelmaier

Last Published

May 1st, 2020

Functions in mpt (0.6-2)

retroact

Recall Frequencies in Retroactive Inhibition
mpt

Multinomial Processing Tree (MPT) Models
citysize

City-Size Paired-Comparison Task and Response Strategy
mptEM

EM Algorithm for Multinomial Processing Tree Models
prospecMemory

Prospective Memory and Task Importance
plot.mpt

Diagnostic Plot for MPT Models
mptspec

Specify a Multinomial Processing Tree (MPT) Model
proact

Recall Frequencies for DaPolito's Experiment on Proactive Inhibition
logLik.mpt

Log-Likelihood of an mpt Object
valence

World Valence and Source Memory for Vertical Position
recogROC

Recognition Receiver Operating Characteristics
vcov.mpt

Covariance and Information Matrix for MPT Models
selectiontask

Wason Selection Task (WST) and Helpful Hints
simulate.mpt

Simulate Responses from MPT Models