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:
CpGFilter_1.1.tar.gz
CpGFilter_1.1.tar.gz(r-4.7-any)CpGFilter_1.1.tar.gz(r-4.6-any)
CpGFilter_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CpGFilter/json (API)
| # Install 'CpGFilter' in R: |
| install.packages('CpGFilter', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6e5a5fe5c6. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 98 | ||
| source / vignettes | OK | 170 | ||
| linux-release-x86_64 | OK | 104 | ||
| wasm-release | OK | 95 |
Exports:CpGFilterICC
Dependencies:matrixStats
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CpG filtering method based on intra-class correlation coefficients. | CpGFilterICC |