# Bayesian Psychometric Measurement Using 'Stan'

## Documentation for package ‘measr’ version 0.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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)