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mmcmcBayes: Multistage MCMC Method for Detecting DMRs

Implements a multi-stage MCMC Bayesian framework for detecting differentially methylated regions (DMRs) in epigenetic data. It uses Bayesian inference with Alpha-Skew Generalized Normal (ASGN) model and support Bayes Factor or Anderson-Darling Test for region selection. The methodology is based on Yang (2025) <https://www.proquest.com/docview/3218878972>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: MCMCpack (≥ 1.4-0)
Suggests: kSamples, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2025-11-24
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
CRAN checks: mmcmcBayes results

Documentation:

Reference manual: mmcmcBayes.html , mmcmcBayes.pdf

Downloads:

Package source: mmcmcBayes_0.1.0.tar.gz
Windows binaries: r-devel: mmcmcBayes_0.1.0.zip, r-release: mmcmcBayes_0.1.0.zip, r-oldrel: mmcmcBayes_0.1.0.zip
macOS binaries: r-release (arm64): mmcmcBayes_0.1.0.tgz, r-oldrel (arm64): mmcmcBayes_0.1.0.tgz, r-release (x86_64): mmcmcBayes_0.1.0.tgz, r-oldrel (x86_64): mmcmcBayes_0.1.0.tgz

Linking:

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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.