Changelog
Source:NEWS.md
easyRaschBayes 0.3.0 (development)
- New custom brms family
hurdle_acatfor hurdle partial credit models (H-PCM). This is written by Kristoffer Magnusson - Several adapted (experimental) functions for H-PCM, all using the
*_hpcmsuffix. - Bug fix(ish) - changed post processing functions to use
median_hdci()instead ofmedian_hdi()to avoid issues with multimodal posteriors.
easyRaschBayes 0.2.0
CRAN release: 2026-03-28
- Updates:
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infit_statistic()is now faster and defaults to not output outfit statistics, since these are of dubious value (see Müller 2020 and Johansson, 2025). -
item_restscore_statistic()is now faster and has output similar toinfit_post(). -
q3_statistic()is now faster and has output similar toinfit_post(). -
plot_residual_pca()is now faster.
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- Three post-processing helper functions that output a list with result table(s) and a plot:
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infit_post()for the output ofinfit_statistic() -
item_restscore_post()for the output ofitem_restscore_statistic() -
q3_post()for the output ofq3_statistic()
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- Other new functions:
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plot_icc()can both produce a basic conditional Item Characteristic Curves plot and optionally a DIF ICC plot, the latter also reporting a partial gamma DIF magnitude coefficient. This is inspired byiarm::ICCplot() -
item_parameters()to retrieve item threshold locations -
person_parameters()to retrieve person locations (latent scores) using EAP and WLE, and also a transformation table from ordinal sum score to EAP/WLE. -
posterior_to_prior()that extracts priors from abrmsfitmodel that may be useful in model fit assessment. An article will be added later, exploring this further. -
plot_tile(),plot_bars(), andplot_stackedbars()uses wide format item data to create plots to review response patterns.
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