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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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