Bayesian Psychometric Measurement Using 'Stan'

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Documentation for package ‘measr’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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)