Changes in version 1.2.0 (2024-08-17)                  

New function: "rconfusionmatrix" - allows for a new way of calculating
weighted accuracy metrics, by reallocating observations classified in
the vicinity of the true category to the confusion matrix diagonal.

Bugfix: The "wconfusionmatrix" weighting calculation is adjusted to fix
a rare bug which would appear when selecting a specific set of weights.

Improvements: Vignette updated to include additional examples and
improvements in formatting and display of results.

                 Changes in version 1.1.0 (2024-04-22)                  

New function: "balancedaccuracy" - implements the Starovoitov-Golub
sine-based accuracy metrics, specifically designed for classification
with imbalanced data.

New features: the "wconfusionmatrix" and "weightmatrix" functions now
include two additional weighting schemes "sin" and "tanh" - based on the
sinus and hyperbolic tangent functions, which allow for even greater
customization of weights assigned to classes.

Bugfix: The "interval" weighting scheme under the "wconfusionmatrix" and
"weightmatrix" functions has been fixed. It previously produced
inaccurate results when run with matrix dimensions greater than 5.

Improvements: Vignette updated to include additional examples and
improvements in formatting and display of results.

                 Changes in version 1.0.0 (2023-12-12)                  

This is the initial release.