calcLogLik

calcLogLik,confmirtClass-method

calcLogLik-method

a model of class <code>confmirtClass</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
  <code>polymirt</code> and <code>confmirt</code> objects

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,
        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.

calcLogLik: Monte Carlo Log-Likelihood Calculation

Description

Arguments

Value

See Also

Examples