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.
|Date of publication||2015-08-14 00:20:21|
|Maintainer||Dylan Molenaar <email@example.com>|
anova: Conduct a likelihood ratio test on two nested 'diffIRT'...
brightness: A Simulated Response Time Dataset according to an...
coef: Return estimated parameters
diffIRT: Fitting diffusion IRT models
extraversion: Responses and Response Times to 10 Extraversion Items
factest: Estimating factor scores for diffIRT models
QQdiff: Assessing diffIRT model fit for the response times using...
RespFit: Assessing diffIRT model fit for the responses using limited...
rotation: Responses and Response Times to 10 Mental Rotation Items
simdiff: Simulate data according to the D-diffusion or Q-diffusion IRT...
simdiffT: Simulate data according to the traditional diffusion model.
summary: Summary function for diffIRT objects