easyRaschBayes 0.3.0
(development)
- New custom brms family
hurdle_acat for hurdle partial
credit models (H-PCM). This is written by Kristoffer Magnusson
- Several adapted (experimental) functions for H-PCM, all using the
*_hpcm suffix.
infit_statistic_hpcm()
q3_statistic_hpcm()
item_parameters_hpcm()
person_parameters_hpcm()
RMUreliability_hpcm()
plot_icc_hpcm()
plot_targeting_hpcm()
- Bug fix - changed post processing functions to use
median_hdci() instead of median_hdi() to avoid
issues with multimodal posteriors.
- Bug fix - corrected the WLE person estimates in
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.
easyRaschBayes 0.2.0.1
- Fix for
plot_icc() theta values.
easyRaschBayes 0.2.0
- Updates:
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.
- Three post-processing helper functions that output a list with
result table(s) and a plot:
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()
- Other new functions:
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
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 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.
easyRaschBayes 0.1.0