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mmcmcBayes  

Multistage MCMC Method for Detecting DMRs
View on CRAN: Click here


Download and install mmcmcBayes package within the R console
Install from CRAN:
install.packages("mmcmcBayes")

Install from Github:
library("remotes")
install_github("cran/mmcmcBayes")

Install by package version:
library("remotes")
install_version("mmcmcBayes", "0.2.0")



Attach the package and use:
library("mmcmcBayes")
Maintained by
Zhexuan Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-24
Latest Update: 2025-11-24
Description:
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>.
How to cite:
Zhexuan Yang (2025). mmcmcBayes: Multistage MCMC Method for Detecting DMRs. R package version 0.2.0, https://cran.r-project.org/web/packages/mmcmcBayes. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:31), 0.1.0 (2025-11-24 09:50)
Other packages that cited mmcmcBayes R package
View mmcmcBayes citation profile
Other R packages that mmcmcBayes depends, imports, suggests or enhances
Complete documentation for mmcmcBayes
Functions, R codes and Examples using the mmcmcBayes R package
Full mmcmcBayes package functions and examples
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