wconf 1.1.0

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.

wconf 1.0.0

This is the initial release.