
Package index
Specification
Specify a diagnostic model, including measurement model, structural model, and prior distributions.
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dcm_specify()
- Specify a diagnostic classification model (from dcmstan)
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get_parameters()
- Identify parameters included in a diagnostic classification model (from dcmstan)
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prior()
- Prior definitions for diagnostic classification models (from dcmstan)
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default_dcm_priors()
- Default priors for diagnostic classification models (from dcmstan)
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dcm_estimate()
- Fit Bayesian diagnostic classification models
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reliability()
- Estimate the reliability of a diagnostic classification model
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cdi()
- Item, attribute, and test-level discrimination indices
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fit_m2(<measr::measrdcm>)
- Estimate the M2 fit statistic for diagnostic classification models
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fit_ppmc()
- Posterior predictive model checks for assessing model fit
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loo(<measr::measrdcm>)
waic(<measr::measrdcm>)
loo_compare(<measr::measrdcm>)
- Relative fit for Bayesian models
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loglik_array()
- Extract the log-likelihood of an estimated model
Add evaluations to model objects
Add reliability, model fit, and model comparison information to an estimated model object.
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add_criterion()
add_reliability()
add_fit()
add_respondent_estimates()
- Add model evaluation metrics model objects
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measr_extract()
- Extract components of a
measrfit
object
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score()
- Posterior draws of respondent proficiency