# mmcmcBayes 0.2.0

## 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.


