Package index

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

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
 Class
measrfit
of models fitted with the measr package

measrfit()
 Create a
measrfit
object

as_measrfit()
 Coerce objects to a
measrfit

is_measrfit()
 Check if argument is a
measrfit
object

reliability()
 Estimate the reliability of psychometric models

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)

loglik_array()
 Extract the loglikelihood of an estimated model
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