DImodelsVis 1.0.5
- 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
- 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
- Updated to code base to ensure compatibility with upcoming ggplot
v4.0.0
DImodelsVis 1.0.2
- 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
- Fixed a bug that caused vignette building to fail on Fedora
systems.
- Additional bug fixes to streamline the code.
DImodelsVis 1.0.0