NEWS
DImodelsVis 1.0.5 (2026-06-29)
- Ternary plots now also work with model containing log-transformed (for example, alr, clr, and ilr) compositional predictors.
- Conditional ternary plots now have a
scale_ternaries argument which, when set to TRUE, allows conditional ternaries to be scaled according to the size of the corresponding slice within the original simplex.
- Some other bug minor bug fixes.
DImodelsVis 1.0.4 (2025-10-08)
- Added new vignettes showcasing how to use
DImodelsVis with different models such as random-forests, neural networks, nlme, etc.
- Prediction contribution plots now have
bar_width and eb_width parameters to allow adjusting the widths of the prediction and error bars, respectively.
- Cleaned up package documentation a bit.
DImodelsVis 1.0.3 (2025-08-23)
- Updated to code base to ensure compatibility with upcoming ggplot v4.0.0
DImodelsVis 1.0.2 (2025-08-21)
- Added functionality allowing the package to work seamlessly with model objects fit using
DImodelsMulti.
- Units tests added for all functions.
- Additional bug fixes.
DImodelsVis 1.0.1 (2024-02-26)
- Fixed a bug that caused vignette building to fail on Fedora systems.
- Additional bug fixes to streamline the code.
DImodelsVis 1.0.0 (2024-02-19)