A family of novel beta mixture models (BMMs) has been developed by Majumdar et al. (2022) <doi:10.48550/arXiv.2211.01938> to appositely model the beta-valued cytosine-guanine dinucleotide (CpG) sites, to objectively identify methylation state thresholds and to identify the differentially methylated CpG (DMC) sites using a model-based clustering approach. The family of beta mixture models employs different parameter constraints applicable to different study settings. The EM algorithm is used for parameter estimation, with a novel approximation during the M-step providing tractability and ensuring computational feasibility.
| Version: | 1.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | foreach,doParallel, stats, utils,ggplot2,plotly,scales,pROC |
| Suggests: | rmarkdown,knitr |
| Published: | 2025-09-19 |
| DOI: | 10.32614/CRAN.package.betaclust |
| Author: | Koyel Majumdar |
| Maintainer: | Koyel Majumdar <koyelmajumdar.phdresearch at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | betaclust results |
| Reference manual: | betaclust.html ,betaclust.pdf |
| Vignettes: | betaclust: a family of beta mixture models for beta-valued DNA methylation data (source,R code) |
| Package source: | betaclust_1.0.5.tar.gz |
| Windows binaries: | r-devel:betaclust_1.0.5.zip, r-release:betaclust_1.0.5.zip, r-oldrel:betaclust_1.0.5.zip |
| macOS binaries: | r-release (arm64):betaclust_1.0.5.tgz, r-oldrel (arm64):betaclust_1.0.5.tgz, r-release (x86_64):betaclust_1.0.5.tgz, r-oldrel (x86_64):betaclust_1.0.5.tgz |
| Old sources: | betaclust archive |
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