Man pages for measr
Bayesian Psychometric Measurement Using 'Stan'
| aic-bic | 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 |
| loglik_array | Extract the log-likelihood of an estimated model |
| log_mll | Log marginal likelihood calculation |
| loo-waic | Relative fit for Bayesian models |
| m2 | Estimate the M_2 fit statistic for diagnostic classification... |
| measrdcm | S7 class for measrdcm objects |
| 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-package | measr: Bayesian Psychometric Measurement Using 'Stan' |
| model_evaluation | Add model evaluation metrics model objects |
| qmatrix_validation | Q-matrix validation |
| reexports | Objects exported from other packages |
| reliability | Estimate the reliability of a diagnostic classification model |
| score | Posterior draws of respondent proficiency |
| stan-classes | S7 classes for estimation specifications |
| tidyeval | Tidy eval helpers |
| yens_q3 | Yen's Q_3 statistic for local item dependence |
