Package: CpGassoc 2.70
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.
Authors:
CpGassoc_2.70.tar.gz
CpGassoc_2.70.zip(r-4.5)CpGassoc_2.70.zip(r-4.4)CpGassoc_2.70.zip(r-4.3)
CpGassoc_2.70.tgz(r-4.4-any)CpGassoc_2.70.tgz(r-4.3-any)
CpGassoc_2.70.tar.gz(r-4.5-noble)CpGassoc_2.70.tar.gz(r-4.4-noble)
CpGassoc_2.70.tgz(r-4.4-emscripten)CpGassoc_2.70.tgz(r-4.3-emscripten)
CpGassoc.pdf |CpGassoc.html✨
CpGassoc/json (API)
# Install 'CpGassoc' in R: |
install.packages('CpGassoc', repos = c('https://rbarfield.r-universe.dev', 'https://cloud.r-project.org')) |
- annotation - Sample data from 'CpGassoc'
- samplecpg - Sample data from 'CpGassoc'
- samplepheno - Sample data from 'CpGassoc'
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:639c1717c8. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:cpg.assoccpg.combinecpg.everythingcpg.everything.charactercpg.everything.complexcpg.everything.logicalcpg.everything.matrixcpg.everything.numericcpg.GCcpg.lengthcpg.permcpg.qccpg.workcpgassocsummarydesigndesign.data.framedesign.NULLmanhattanmanhattan.reflectplot.cpgplot.cpg.permpointsizefunctionprint.cpgprint.cpg.gcprint.cpg.permprint.cpg.perm.gcscatterplotsort.cpgsort.cpg.permsummary.cpgsummary.cpg.perm