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: 1.0.4 Depends: R (≥ 3.5.0) Imports: foreach, doParallel, stats, utils, ggplot2, plotly, scales, pROC Suggests: rmarkdown, knitr Published: 2024-09-24 DOI: 10.32614/CRAN.package.betaclust Author: Koyel Majumdar [aut, cre], Romina Silva [aut], Antoinette Sabrina Perry [aut], Ronald William Watson [aut], Andrea Rau [aut], Florence Jaffrezic [aut], Thomas Brendan Murphy [aut], Isobel Claire Gormley [aut] Maintainer: Koyel Majumdar <koyel.majumdar at ucdconnect.ie> License: GPL-3 NeedsCompilation: yes Materials: README, NEWS CRAN checks: betaclust results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=betaclust to link to this page.
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