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diffIRT (version 1.5)

Diffusion IRT Models for Response and Response Time Data

Description

Package to fit diffusion-based IRT models to response and response time data. Models are fit using marginal maximum likelihood. Parameter restrictions (fixed value and equality constraints) are possible. In addition, factor scores (person drift rate and person boundary separation) can be estimated. Model fit assessment tools are also available. The traditional diffusion model can be estimated as well.

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Version

Install

install.packages('diffIRT')

Monthly Downloads

197

Version

1.5

License

GPL-2

Maintainer

Dylan Molenaar

Last Published

August 13th, 2015

Functions in diffIRT (1.5)

QQdiff

Assessing diffIRT model fit for the response times using QQ-plots
coef

Return estimated parameters
rotation

Responses and Response Times to 10 Mental Rotation Items
simdiff

Simulate data according to the D-diffusion or Q-diffusion IRT model.
extraversion

Responses and Response Times to 10 Extraversion Items
simdiffT

Simulate data according to the traditional diffusion model.
summary

Summary function for diffIRT objects
brightness

A Simulated Response Time Dataset according to an Experimental Design
RespFit

Assessing diffIRT model fit for the responses using limited information goodness-of-fit testing.
factest

Estimating factor scores for diffIRT models
diffIRT

Fitting diffusion IRT models
anova

Conduct a likelihood ratio test on two nested diffIRT models