# 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()
