Function reference

ecpe_data
ecpe_qmatrix
 Examination for the Certificate of Proficiency in English (ECPE)

mdm_data
mdm_qmatrix
 MacReady & Dayton (1977) Multiplication Data

measrprior()
prior()
prior_()
prior_string()
 Prior definitions for measr models

is.measrprior()
 Checks if argument is a
measrprior
object

c(<measrprior>)
 Combine multiple measrprior objects into one measrprior

default_dcm_priors()
 Default priors for diagnostic classification models

get_parameters()
 Get a list of possible parameters

measr_dcm()
 Fit Bayesian diagnostic classification models

measrfitclass
measrfit
 Class
measrfit
of models fitted with the measr package

reliability()
 Estimate the reliability of psychometric models

fit_m2()
 Model Fit M2 Calculations (from dcm2)

fit_m2(<measrdcm>)
 Estimate the M_{2} fit statistic for diagnostic classification models

fit_ppmc()
 Posterior predictive model checks for assessing model fit

loo_compare(<measrfit>)
 Relative model fit comparisons

loo(<measrfit>)
 Efficient approximate leaveoneout crossvalidation (LOO)

waic(<measrfit>)
 Widely applicable information criterion (WAIC)
Add evaluations to model objects
Add reliability, model fit, and model comparison information to an estimated model object.

add_criterion()
add_reliability()
add_fit()
add_respondent_estimates()
 Add model evaluation metrics model objects

measr_extract()
 Extract components of a
measrfit
object.

predict(<measrdcm>)
 Posterior draws of respondent proficiency

create_profiles()
 Generate mastery profiles

measr_examples()
 Determine if code is executed interactively or in pkgdown