Package: mmcmcBayes 0.2.0

Zhexuan Yang

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>.

Authors:Zhexuan Yang [aut, cre], Duchwan Ryu [aut], Feng Luan [aut]

mmcmcBayes_0.2.0.tar.gz
mmcmcBayes_0.2.0.zip(r-4.7-any)mmcmcBayes_0.2.0.zip(r-4.6-any)
mmcmcBayes_0.2.0.tar.gz(r-4.7-any)mmcmcBayes_0.2.0.tar.gz(r-4.6-any)
mmcmcBayes_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mmcmcBayes/json (API)

# Install 'mmcmcBayes' in R:
install.packages('mmcmcBayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zyang1919/mmcmcbayes/issues

Datasets:

On CRAN:

Conda:

1.30 score 359 downloads 5 exports 10 dependencies

Last updated from:479faa1a26. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK147
source / vignettesOK184
linux-releaseOK153
windows-develOK83
windows-releaseOK133
wasm-releaseOK117

Exports:asgn_funccompare_dmrsmmcmcBayesplot_dmr_regionsummarize_dmrs

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival