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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | mmcmcBayes_0.2.0.tar.gz |
5.8 MiB |
0.2.0 |
rolling linux/noble R-4.5 | mmcmcBayes_0.2.0.tar.gz |
5.8 MiB |
0.2.0 |
rolling source/ R- | mmcmcBayes_0.2.0.tar.gz |
6.0 MiB |
0.2.0 |
latest linux/jammy R-4.5 | mmcmcBayes_0.2.0.tar.gz |
5.8 MiB |
0.2.0 |
latest linux/noble R-4.5 | mmcmcBayes_0.2.0.tar.gz |
5.8 MiB |
0.2.0 |
latest source/ R- | mmcmcBayes_0.2.0.tar.gz |
6.0 MiB |
0.2.0 |
2026-04-26 source/ R- | mmcmcBayes_0.2.0.tar.gz |
6.0 MiB |
0.2.0 |
2026-04-23 source/ R- | mmcmcBayes_0.2.0.tar.gz |
6.0 MiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | mmcmcBayes_0.2.0.zip |
5.8 MiB |