simLNIRTQ

<p>Simulate data for log-normal response time IRT modelling with variable person speed (intercept, trend, quadratic)</p>

Allows the simultaneous analysis of responses and response times in an Item Response Theory (IRT) modelling framework. Supports variable person speed functions (intercept, trend, quadratic), and covariates for item and person (random) parameters. Data missing-by-design can be specified. Parameter estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT, which was written by Rinke Klein Entink. For reference, see the paper by Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and Response Times with the Package cirt", Journal of Statistical Software, <doi:10.18637/jss.v020.i07>.

Konrad Klotzke

State of Data and AI Literacy Report 2025

simLNIRTQ: Simulate data for log-normal response time IRT modelling with variable person speed (intercept, trend, quadratic)

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