randef

an estimated model object from the <code><a href="/link/mixedmirt?package=mirt&version=1.4" rd-options="" data-mini-rdoc="mirt::mixedmirt">mixedmirt</a></code> function

total number of draws to perform. Default is 1000

ndraws

amount of thinning to apply. Default is to use every 10th draw

thin

Stochastically compute random effects for <code>MixedClass</code> objects with Metropolis-Hastings
samplers and averaging over the draws. Returns a list of the estimated effects.

effects

random

Analysis of dichotomous and polytomous response data using
    unidimensional and multidimensional latent trait models under the Item
    Response Theory paradigm. Exploratory and confirmatory models can be
    estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
    bi-factor and two-tier analyses are available for modeling item testlets.
    Multiple group analysis and mixed effects designs also are available for
    detecting differential item functioning and modelling item and person
    covariates.

randef: Compute random effects

Description

Usage

Arguments

Examples