| 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) |