CpGassoc: Association Between Methylation and a Phenotype of Interest

Is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest, adjusting for any relevant covariates. The package can perform standard analyses of large datasets very quickly with no need to impute the data. It can also handle mixed effects models with chip or batch entering the model as a random intercept. Also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.

Version:	2.70
Depends:	R (≥ 2.10), nlme, methods
Published:	2024-07-16
DOI:	10.32614/CRAN.package.CpGassoc
Author:	Barfield, R., Conneely, K., Kilaru,V
Maintainer:	R Barfield <barfieldrichard8 at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
In views:	MixedModels
CRAN checks:	CpGassoc results

Documentation:

Reference manual:	CpGassoc.pdf
Vignettes:	CpGassoc reference

Downloads:

Package source:	CpGassoc_2.70.tar.gz
Windows binaries:	r-devel: CpGassoc_2.70.zip, r-release: CpGassoc_2.70.zip, r-oldrel: CpGassoc_2.70.zip
macOS binaries:	r-release (arm64): CpGassoc_2.70.tgz, r-oldrel (arm64): CpGassoc_2.70.tgz, r-release (x86_64): CpGassoc_2.70.tgz, r-oldrel (x86_64): CpGassoc_2.70.tgz
Old sources:	CpGassoc archive

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