jrt 1.2.0

• New all.mirt.objects slot in jrt objects to store all mirt objects created during the automatic estimation process, to facilitate further analysis without needing to re-fit the models.
• Argument to change the x and y axis titles in the info.plot() function.
• Removed the irr dependency. additional.stats = TRUE now reports selected psych-based reliability indices and no longer reports Fleiss kappa or ICC values.
• Updated line geoms to use linewidth, avoiding the ggplot2 3.4.0 deprecation warning for the size aesthetic.
• Vignette and warning/note improvements, including clearer warning messages when judges have unobserved response categories.

jrt 1.1.2

• Hannan–Quinn (HQ) Criterion is now in outputs, and can now be used for automatic selection criterion.
• Vignette improvements for clarity.

jrt 1.1.1

• Fixes issue in jrt() with slope-constrained models when ordinal scales start with 0 rather than 1.
• Added a new example dataset with missing data.
• Patched issues with displaying of amount of missing data.

jrt 1.1.0

• Fixes for compatibility with recent versions of the mirt package.
• Fixes for compatibility with recent versions of the ggplot2 package.
• Update package citation.
• Added documentation of S4 classes/methods.
• Added the possibility to override the automatic facet naming in jcc.plot() with argument facet.names.
• Added the possibility to change the opacity of the different category lines in jcc.plot() with line.opacity.
• Simplified messages for situations with judges/items with unobserved categories.
• Made Akaike Information Criterion (AIC) the default option in model comparisons.

jrt 1.0.1

• Simulated dataset is now directly included as jrt::ratings.
• Model weights (often called Akaike weights) are now presented in the model selection output (per reviewer suggestion).
• Calls to mirt can now be showed with show.calls = TRUE argument in the jrt()function.
• References were updated.

jrt 1.0.0

• Initial release with functions jrt(), jcc.plot() and info.plot()