aic                     Maximum likelihood based information criteria
bayes_factor            Bayes factor for model comparisons
cdi                     Item, attribute, and test-level discrimination
                        indices
dcm_estimate            Fit Bayesian diagnostic classification models
fit_ppmc                Posterior predictive model checks for assessing
                        model fit
log_mll                 Log marginal likelihood calculation
loglik_array            Extract the log-likelihood of an estimated
                        model
loo-waic                Relative fit for Bayesian models
m2                      Estimate the M_2 fit statistic for diagnostic
                        classification models
measr_examples          Determine if code is executed interactively or
                        in pkgdown
measr_extract           Extract components of a 'measrfit' object
measrdcm                S7 class for measrdcm objects
model_evaluation        Add model evaluation metrics model objects
qmatrix_validation      Q-matrix validation
reliability             Estimate the reliability of a diagnostic
                        classification model
score                   Posterior draws of respondent proficiency
stan-classes            S7 classes for estimation specifications
yens_q3                 Yen's Q_3 statistic for local item dependence
