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) |