hurdle_acat for hurdle partial
credit models (H-PCM). This is written by Kristoffer Magnusson*_hpcm suffix.
infit_statistic_hpcm()q3_statistic_hpcm()item_parameters_hpcm()person_parameters_hpcm()RMUreliability_hpcm()plot_icc_hpcm()plot_targeting_hpcm()median_hdci() instead of median_hdi() to avoid
issues with multimodal posteriors.person_parameters() and
person_parameters_hpcm(). The polytomous Warm bias
correction had the wrong sign, biasing estimates outward; WLE now
matches catR/TAM. Extreme (minimum and
maximum) scores now receive proper finite WLE estimates instead of being
clamped to the theta_range bounds.plot_icc() theta values.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 to infit_post().q3_statistic() is now faster and has output similar to
infit_post().plot_residual_pca() is now faster.infit_post() for the output of
infit_statistic()item_restscore_post() for the output of
item_restscore_statistic()q3_post() for the output of
q3_statistic()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 by iarm::ICCplot()item_parameters() to retrieve item threshold
locationsperson_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 a
brmsfit model that may be useful in model fit assessment.
An article will be added later, exploring this further.plot_tile(), plot_bars(), and
plot_stackedbars() uses wide format item data to create
plots to review response patterns.
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