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.