ConfidenceEllipse 1.1.0

Added distribution parameter to the confidence_ellipse() and confidence_ellipsoid functions allowing users to choose between "normal" and "hotelling" (Hotelling’s T²) distributions for ellipse calculation.
Enhanced statistical rigor: Hotelling’s T² distribution now properly accounts for parameter estimation uncertainty in small sample sizes.
Updated documentation with detailed explanations of distribution choices and robust methods.
Added recommendations for parameter selection based on sample size and data characteristics.
Change name of transform_data helper function to transform_2d and transform_3d for clarity and consistency.

ConfidenceEllipse 1.0.0

Added robust parameter to the confidence_ellipse() and confidence_ellipsoid functions enabling robust estimation methods using 1-step M-estimator with biweight psi function for location and Minimum Covariance Determinant (MCD) estimator for scale.
Improved handling of outliers and non-normal data through robust estimation options.
Enhanced documentation with examples demonstrating the use of robust methods.
CRAN release with comprehensive vignettes and examples.

Added transform_data helper function to streamline data transformation processes.

Modified package logo to include a more visually appealing design.
Updated package description to better reflect the functionality and features of the package.

Cleaned up code and improved performance of confidence_ellipse() and confidence_ellipsoid() functions.

Introduced confidence_ellipse() function for 2D confidence ellipse calculations.
Introduced confidence_ellipsoid() function for 3D confidence ellipsoid calculations.

Fixed bug in confidence_ellipse() function where the conf_level parameter was not being correctly applied.