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mpt (version 1.0-0)

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

550

Version

1.0-0

License

GPL (>= 2)

Last Published

October 11th, 2024

Functions in mpt (1.0-0)

pwrsim

Simulation-Based Power Analysis for MPT Models
moraldilemma

Moral Dilemma Judgment
vcov.mpt

Covariance and Information Matrix for MPT Models
plot.mpt

Diagnostic Plot for MPT Models
citysize

City-Size Paired-Comparison Task
retroact

Recall Frequencies in Retroactive Inhibition
recogROC

Recognition Receiver Operating Characteristics
mptEM

EM Algorithm for Multinomial Processing Tree Models
mptspec

Specify a Multinomial Processing Tree (MPT) Model
agememory

Age Differences in Episodic Memory
logLik.mpt

Log-Likelihood of an mpt Object
selectiontask

Wason Selection Task (WST) and Helpful Hints
proact

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

Simulate Responses from MPT Models
mpt

Multinomial Processing Tree (MPT) Models
valence

World Valence and Source Memory for Vertical Position
prospecMemory

Prospective Memory and Task Importance