logLik-method

logLik,SingleGroupClass-method

logLik,MixtureClass-method

logLik,MultipleGroupClass-method

logLik,MixedClass-method

logLik,DiscreteClass-method

<p>an object of class <code>SingleGroupClass</code>,
<code>MultipleGroupClass</code>, or <code>MixedClass</code></p>

object

<p>Extract the observed-data log-likelihood.</p>

Analysis of dichotomous and polytomous response data using
unidimensional and multidimensional latent trait models under the Item
Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>).
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 and test functioning as well as modeling
item and person covariates. Finally, latent class models such as the DINA,
DINO, multidimensional latent class, and several other discrete latent
variable models, including mixture and zero-inflated response models,
are supported.

Phil Chalmers

mirt

Multidimensional Item Response Theory

Joshua Pritikin

Alexander Robitzsch

Mateusz Zoltak

KwonHyun Kim

Carl F. Falk

Adam Meade

Lennart Schneider

David King

Chen-Wei Liu

Ogreden Oguzhan

logLik-method function

Extract log-likelihood — logLik-method

Extract log-likelihood

logLik-method: Extract log-likelihood

Description

Usage

Arguments

References

Examples