simLNIRT

the correlation between the person ability and person speed parameter.

set time-discrimination to one (default: false).

define the time-discrimination parameter as measurement error variance parameter (default: false).

the number of predictors for the person ability parameters (optional).

the number of predictors for the person speed parameters (optional).

the number of predictors for the item-difficulty parameters (optional).

the number of predictors for the item time intensity parameters (optional).

Simulate data for log-normal response time IRT modelling

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>.

simLNIRT: Simulate data for log-normal response time IRT modelling

Description

Usage

Arguments

Value