Changes in version 2026-01-15                      

Major Changes

  - Breaking change: Replaced GAMLSS-based distribution fitting with
    Gaussian Mixture Models (GMM) using the mclust package for more
    flexible and robust distribution modeling.
  - Breaking change: Removed distributions output from detect.outliers()
    function as individual distribution fitting is no longer performed.
  - Breaking change: Removed distribution parameters from
    calculate.residuals(), simulate.null(), and
    outlier.detection.cosine() functions.

Improvements

  - Enhanced null data simulation using GMM-based approach that better
    captures complex data distributions.

Dependencies

  - Added mclust package dependency for Gaussian mixture modeling.
  - Removed dependencies on gamlss and gamlss.dist packages.

Documentation

  - Updated methodology descriptions in README and vignettes to reflect
    GMM-based approach.
  - Revised examples to remove distribution-specific parameters and
    outputs.

Function Changes

  - detect.outliers(): Removed distributions from output list.
  - calculate.residuals(): Removed distribution parameter, now uses GMM
    fitting.
  - simulate.null(): Removed x.distribution and r.distribution
    parameters, now uses GMM sampling.
  - outlier.detection.cosine(): Removed distribution parameter, now uses
    GMM-based quantiles.
  - calculate.p.values(): Removed x.distribution parameter.