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RhyME

This is the development version of RhyME; to use it, please install the devel version of Bioconductor.

Beta Regression Cosinor Models for Circadian Methylation Analysis


Bioconductor version: Development (3.24)

Fits beta cosinor models to methylation measurements using penalized quasi-likelihood (PQL), an optional subject random intercept, adjustment covariates, and an optional empirical Bayes (EB) prior on log precision. Tests rhythmicity with a null-model score test and estimates rhythm parameters from a separate full-model fit.

Author: Yixiang Hong [aut, cre]

Maintainer: Yixiang Hong <yixiang.hong at uth.tmc.edu>

Citation (from within R, enter citation("RhyME")):

Yixiang Hong. RhyME: Beta Regression Cosinor Models for Circadian Methylation Analysis. doi:10.18129/B9.bioc.RhyME, R package version 0.99.3, https://bioconductor.org/packages/RhyME.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("RhyME")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RhyME")
Using RhyME for circadian methylation analysis HTML
Reference ManualPDF
NEWSText

Details

biocViews DNAMethylation, DifferentialMethylation, Epigenetics, MethylationArray, Regression, Software, TimeCourse
Version0.99.3
In Bioconductor sinceBioC 3.24 (R-4.6)
License GPL (>= 3)
Depends R (>= 4.5.0)
Imports Rcpp, SummarizedExperiment, S4Vectors, BiocParallel, stats, ggplot2, withr
System RequirementsC++17
URLhttps://github.com/njuelsdke/RhyME
Bug Reportshttps://github.com/njuelsdke/RhyME/issues
See More
Suggests MetaCycle, minfi, knitr, rmarkdown, BiocStyle, BiocGenerics, RUnit
Linking To Rcpp, RcppEigen, BH
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/RhyME
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/RhyME
Package Short Url https://bioconductor.org/packages/RhyME/
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