Introduction | Methodology (Continuous Outcome) | Function Inputs | Methodology (Binary outcome) | EpipwR Workflow | References
Package: EpipwR 1.7.0
Jackson Barth
EpipwR: Efficient Power Analysis for EWAS with Continuous or Binary Outcomes
A quasi-simulation based approach to performing power analysis for EWAS (Epigenome-wide association studies) with continuous or binary outcomes. 'EpipwR' relies on empirical EWAS datasets to determine power at specific sample sizes while keeping computational cost low. EpipwR can be run with a variety of standard statistical tests, controlling for either a false discovery rate or a family-wise type I error rate.
Authors:
EpipwR_1.7.0.tar.gz
EpipwR_1.7.0.zip(r-4.7)EpipwR_1.7.0.zip(r-4.6)EpipwR_1.7.0.zip(r-4.5)
EpipwR_1.7.0.tgz(r-4.6-any)EpipwR_1.7.0.tgz(r-4.5-any)
EpipwR_1.7.0.tar.gz(r-4.7-any)EpipwR_1.7.0.tar.gz(r-4.6-any)
EpipwR_1.7.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
EpipwR/json (API)
| # Install 'EpipwR' in R: |
| install.packages('EpipwR', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jbarth216/epipwr/issues
On BioConductor:EpipwR-1.7.0(bioc 3.24)EpipwR-1.6.0(bioc 3.23)
Last updated from:9d8d4c28f7. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 164 | ||
| linux-devel-x86_64 | OK | 255 | ||
| source / vignettes | OK | 247 | ||
| linux-release-x86_64 | OK | 278 | ||
| macos-release-arm64 | OK | 206 | ||
| macos-oldrel-arm64 | OK | 141 | ||
| windows-devel | OK | 195 | ||
| windows-release | OK | 216 | ||
| windows-oldrel | OK | 190 | ||
| wasm-release | OK | 130 |
Exports:EpipwR_plotget_power_ccget_power_contpwrE_to_EpipwR
Dependencies:AnnotationDbiAnnotationHubaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobcachemclicpp11crayoncurlDBIdbplyrdplyrEpipwR.dataExperimentHubfarverfastmapfilelockgenericsggplot2gluegtablehttrhttr2IRangesisobandjsonliteKEGGRESTlabelinglifecyclemagrittrmemoisemimeopensslpillarpkgconfigpngpurrrR6rappdirsRColorBrewerrlangRSQLiteS4VectorsS7scalesSeqinfostringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewithrXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plotting EpipwR Output | EpipwR_plot |
| Power Calculations for Case/Control EWAS | get_power_cc |
| Power Calculations for Continuous EWAS | get_power_cont |
| Using pwrEWAS effect-size distributions in EpipwR | pwrE_to_EpipwR |