NEWS.md

In easyRaschBayes: Bayesian Rasch Analysis Using 'brms'

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

• Initial release.

easyRaschBayes documentation built on March 28, 2026, 5:07 p.m.