Changes in version 0.2.0 (2025-12-20)                  

Major updates

  - Removed the Anderson–Darling test from the DMR detection pipeline.
    The decision process is now fully Bayes factor based, improving both
    conceptual clarity and computational stability.
  - Improved computational efficiency of the ASGN model fitting and the
    multistage MCMC algorithm, resulting in faster run times across all
    simulated scenarios.
  - Removed the return_mcmc option and deprecated internal MCMC return
    paths in both mmcmcBayes() and asgn_func(), simplifying the user
    facing interface.

New functions

  - Added summarize_dmrs() to provide a clean summary table of detected
    regions, including CpG ranges, region size, decision values, and
    stage information.
  - Added plot_dmr_region() for visualization of mean M-value curve
    across detected DMRs. This allows users to inspect cancer vs. normal
    signal patterns in a region-specific manner.

Improvements

  - Cleaned and reorganized internal helper functions for clarity and
    efficiency.
  - Updated documentation across all exported functions, reflecting
    removal of the Anderson–Darling test and removal of the return_mcmc
    options.
  - Enhanced the package DESCRIPTION and added examples to exported
    functions.