c.measrprior            Combine multiple measrprior objects into one
                        measrprior
create_profiles         Generate mastery profiles
default_dcm_priors      Default priors for diagnostic classification
                        models
ecpe_data               Examination for the Certificate of Proficiency
                        in English (ECPE)
fit_m2.measrdcm         Estimate the M_2 fit statistic for diagnostic
                        classification models
fit_ppmc                Posterior predictive model checks for assessing
                        model fit
get_parameters          Get a list of possible parameters
is.measrprior           Checks if argument is a 'measrprior' object
loo.measrfit            Efficient approximate leave-one-out
                        cross-validation (LOO)
loo_compare.measrfit    Relative model fit comparisons
mdm_data                MacReady & Dayton (1977) Multiplication Data
measr_dcm               Fit Bayesian diagnostic classification models
measr_examples          Determine if code is executed interactively or
                        in pkgdown
measr_extract           Extract components of a 'measrfit' object.
measrfit-class          Class 'measrfit' of models fitted with the
                        *measr* package
measrprior              Prior definitions for *measr* models
model_evaluation        Add model evaluation metrics model objects
predict.measrdcm        Posterior draws of respondent proficiency
reliability             Estimate the reliability of psychometric models
waic.measrfit           Widely applicable information criterion (WAIC)
