Man pages for hplieninger/mpt2irt
Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles
| boeck_predict | Model-predicted response distribution. |
| cat_to_mult | Convert to multinomial data. |
| create_revItem | Internal function to create revItem from prop.rev |
| fit_irtree | Fit an mpt2irt model |
| gen_betas | Generate item parameters. |
| generate_irtree_2012 | Generate data for Boeckenholt Model. |
| generate_irtree_ext | Generate data for Acquiescence Model. |
| generate_irtree_shift | Generate data for Shift-Tree Model. |
| generate_irtree_steps | Generate data for Steps Model. |
| get_dir | Get a Directory for Saving Files. |
| global_OR | Discrepency measure for PPC: Global Odds ratio for two items. |
| jacobian_irtree | Check identifiability of models. |
| load_rda | Load RData file. |
| mcmc.list2stan | Convert MCMC list to array. |
| mpt2irt-package | mpt2irt: Bringing Multinomial Processing Tree Models To Item... |
| mult_to_cat | Convert to categorical data. |
| plot_expected | Plot predicted and observed frequencies. |
| plot_Geweke | Plot Geweke statistic. |
| plot_GRS | Plot Gelman-Rubin statistic. |
| plot_irtree | Plot item parameters of an mpt2irt model. |
| plot_responses | Plot observed frequencies. |
| plot_singlefit | Plot true and estimated parameters. |
| posterior_expected | Calculate expected responses on the basis of posterior... |
| posterior_predicted | Draw responses on the basis of posterior predicitive... |
| post_prob_irtree | Calculate posterior predictive probabilities. |
| ppc_irtree | Posterior predicitve checks and p-values for several... |
| ppc_resp_irtree | Posterior predicitve checks of response frequencies. |
| print.ppc | Print posterior predictive p-values |
| recovery_irtree | Recovery simulation of mpt2irt models. |
| sample_pp | Sample Posterior Predictive Responses |
| stan2mcmc.list | Stan to coda object |
| statistic_item_cor | Discrepency measure for PPC: Item-total correlation. |
| statistic_item_score | Discrepency measure for PPC: Item score distribution X2. |
| statistic_OR | Discrepency measure for PPC: Global Odds ratio for three or... |
| statistic_Q3 | Discrepency measure for PPC: Yen's Q3. |
| summarize_irtree_fit | Calculate summary for a fitted model. |
| tidyup_irtree_fit | Summarize and tidy up a fitted model. |
