CpGFilter: CpG Filtering Method Based on Intra-Class Correlation Coefficients

Filter CpGs based on Intra-class Correlation Coefficients (ICCs) when replicates are available. ICCs are calculated by fitting linear mixed effects models to all samples including the un-replicated samples. Including the large number of un-replicated samples improves ICC estimates dramatically. The method accommodates any replicate design.

Version:	1.1
Depends:	R (≥ 3.1.0)
Imports:	stats, matrixStats
Published:	2017-08-23
Author:	Jun Chen
Maintainer:	Jun Chen <chen.jun2 at mayo.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	CpGFilter results

Documentation:

Reference manual:

CpGFilter.pdf

Downloads:

Package source:	CpGFilter_1.1.tar.gz
Windows binaries:	r-devel: CpGFilter_1.1.zip, r-release: CpGFilter_1.1.zip, r-oldrel: CpGFilter_1.1.zip
macOS binaries:	r-release (arm64): CpGFilter_1.1.tgz, r-oldrel (arm64): CpGFilter_1.1.tgz, r-release (x86_64): CpGFilter_1.1.tgz, r-oldrel (x86_64): CpGFilter_1.1.tgz
Old sources:	CpGFilter archive

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