Package: CpGFilter 1.1

Jun Chen

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.

Authors:Jun Chen <Chen.Jun2@mayo.edu>

CpGFilter_1.1.tar.gz
CpGFilter_1.1.tar.gz(r-4.5-noble)CpGFilter_1.1.tar.gz(r-4.4-noble)
CpGFilter_1.1.tgz(r-4.4-emscripten)CpGFilter_1.1.tgz(r-4.3-emscripten)
CpGFilter.pdf |CpGFilter.html✨
CpGFilter/json (API)

# Install 'CpGFilter' in R:
install.packages('CpGFilter', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 170 downloads 1 mentions 1 exports 1 dependencies

Last updated 8 years agofrom:6e5a5fe5c6. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-linuxOKApr 02 2025

Exports:CpGFilterICC

Dependencies:matrixStats

Citation

To cite package ‘CpGFilter’ in publications use:

Chen J (2017). CpGFilter: CpG Filtering Method Based on Intra-Class Correlation Coefficients. R package version 1.1, https://CRAN.R-project.org/package=CpGFilter.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {CpGFilter: CpG Filtering Method Based on Intra-Class
      Correlation Coefficients},
    author = {Jun Chen},
    year = {2017},
    note = {R package version 1.1},
    url = {https://CRAN.R-project.org/package=CpGFilter},
  }