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mmcmcBayes: Multistage MCMC Method for Detecting DMRs

Implements differential methylation region (DMR) detection using a multistage Markov chain Monte Carlo (MCMC) algorithm based on the alpha-skew generalized normal (ASGN) distribution. Version 0.2.0 removes the Anderson-Darling test stage, improves computational efficiency of the core ASGN and multistage MCMC routines, and adds convenience functions for summarizing and visualizing detected DMRs. The methodology is based on Yang (2025) <https://www.proquest.com/docview/3218878972>.

Version: 0.2.0
Depends: R (≥ 4.0.0)
Imports: stats, graphics, MCMCpack (≥ 1.4-0)
Suggests: kSamples, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2025-12-20
DOI: 10.32614/CRAN.package.mmcmcBayes
Author: Zhexuan Yang [aut, cre], Duchwan Ryu [aut], Feng Luan [aut]
Maintainer: Zhexuan Yang <zky5198 at psu.edu>
BugReports: https://github.com/zyang1919/mmcmcBayes/issues
License: GPL-3
URL: https://github.com/zyang1919/mmcmcBayes
NeedsCompilation: no
Citation: mmcmcBayes citation info
Materials: NEWS
CRAN checks: mmcmcBayes results

Documentation:

Reference manual: mmcmcBayes.html , mmcmcBayes.pdf

Downloads:

Package source: mmcmcBayes_0.2.0.tar.gz
Windows binaries: r-devel: mmcmcBayes_0.2.0.zip, r-release: mmcmcBayes_0.2.0.zip, r-oldrel: mmcmcBayes_0.2.0.zip
macOS binaries: r-release (arm64): mmcmcBayes_0.2.0.tgz, r-oldrel (arm64): mmcmcBayes_0.2.0.tgz, r-release (x86_64): mmcmcBayes_0.2.0.tgz, r-oldrel (x86_64): mmcmcBayes_0.2.0.tgz
Old sources: mmcmcBayes archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mmcmcBayes to link to this page.

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.