calcLogLik

calcLogLik,ConfirmatoryClass-method

calcLogLik,ExploratoryClass-method

calcLogLik-method

a model of class <code>ConfirmatoryClass</code>
  or <code>ExploratoryClass</code>

object

draws

logical; estimate the G2 model fit statistic?

Calculates a new object that contain the Monte Carlo
  estimated observed log-likelihood values for mirt objects
  estimated with the MH-RM algorithm

Analysis of dichotomous and polytomous response data using
        latent trait models under the Item Response Theory paradigm.
        Includes univariate and multivariate one-, two-, three-, and
        four-parameter logistic models, graded response models, rating
        scale graded response models, generalized partial credit
        models, nominal models, multiple choice models, and
        multivariate partially-compensatory models. These can be used
        in an exploratory or confirmatory manner with optional user
        defined linear constraints. Exploratory models can be estimated
        via quadrature or stochastic methods, a generalized
        confirmatory bi-factor analysis is included, and confirmatory
        models can be fit with a Metropolis-Hastings Robbins-Monro
        algorithm which can include polynomial or product constructed
        latent traits. Additionally, multiple group analysis may be
        performed for unidimensional or multidimensional item response
        models for detecting differential item functioning.

calcLogLik: Monte Carlo Log-Likelihood Calculation

Description

Arguments

Value

See Also

Examples