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mpt (version 0.5-4)

Multinomial Processing Tree Models

Description

Fitting and testing multinomial processing tree (MPT) models, a class of statistical 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

438

Version

0.5-4

License

GPL (>= 2)

Maintainer

Florian Wickelmaier

Last Published

September 8th, 2016

Functions in mpt (0.5-4)

logLik.mpt

Log-Likelihood of an mpt Object
retroact

Recall Frequencies for a Retroactive Inhibition Experiment
plot.mpt

Diagnostic Plot for MPT Models
simulate.mpt

Simulate Responses from MPT Models
citysize

City-Size Paired-Comparison Task and Instruction Type
recogROC

Recognition Receiver Operating Characteristics
mpt

Multinomial Processing Tree (MPT) Models
mptspec

Specify a Multinomial Processing Tree (MPT) Model
prospecMemory

Prospective Memory by Instruction Type
proact

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

Covariance and Information Matrix for MPT Models
valence

World Valence and Source Memory for Vertical Position
mptEM

EM Algorithm for Multinomial Processing Tree Models