| add_criterion | Add model evaluation metrics model objects | 
| add_fit | Add model evaluation metrics model objects | 
| add_reliability | Add model evaluation metrics model objects | 
| add_respondent_estimates | Add model evaluation metrics model objects | 
| 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) | 
| ecpe_qmatrix | 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 | 
| mdm_qmatrix | MacReady & Dayton (1977) Multiplication Data | 
| measrfit | Class 'measrfit' of models fitted with the *measr* package | 
| measrfit-class | Class 'measrfit' of models fitted with the *measr* package | 
| measrprior | Prior definitions for *measr* models | 
| 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. | 
| measr_extract.measrdcm | Extract components of a 'measrfit' object. | 
| model_evaluation | Add model evaluation metrics model objects | 
| predict.measrdcm | Posterior draws of respondent proficiency | 
| prior | Prior definitions for *measr* models | 
| prior_ | Prior definitions for *measr* models | 
| prior_string | Prior definitions for *measr* models | 
| reliability | Estimate the reliability of psychometric models | 
| reliability.measrdcm | Estimate the reliability of psychometric models | 
| waic.measrfit | Widely applicable information criterion (WAIC) |