Package: EpipwR 1.6.0

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:Jackson Barth [aut, cre], Austin Reynolds [aut], Mary Lauren Benton [ctb], Carissa Fong [ctb]

EpipwR_1.6.0.tar.gz
EpipwR_1.6.0.zip(r-4.7)EpipwR_1.6.0.zip(r-4.6)EpipwR_1.6.0.zip(r-4.5)
EpipwR_1.6.0.tgz(r-4.6-any)EpipwR_1.6.0.tgz(r-4.5-any)
EpipwR_1.6.0.tar.gz(r-4.7-any)EpipwR_1.6.0.tar.gz(r-4.6-any)
EpipwR_1.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
EpipwR/json (API)
NEWS

# Install 'EpipwR' in R:
install.packages('EpipwR', repos = c('https://bioc-release.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)

epigeneticsexperimentaldesign

4.60 score 2 stars 2 scripts 237 downloads 4 exports 67 dependencies

Last updated from:9558da610c (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE164
linux-devel-x86_64OK314
source / vignettesOK201
linux-release-x86_64OK374
macos-release-arm64OK146
macos-oldrel-arm64OK121
windows-develOK192
windows-releaseOK173
windows-oldrelOK204
wasm-releaseOK119

Exports:EpipwR_plotget_power_ccget_power_contpwrE_to_EpipwR

Dependencies:AnnotationDbiAnnotationHubaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobcachemclicpp11crayoncurlDBIdbplyrdplyrEpipwR.dataExperimentHubfarverfastmapfilelockgenericsggplot2gluegtablehttrhttr2IRangesisobandjsonliteKEGGRESTlabelinglifecyclemagrittrmemoisemimeopensslpillarpkgconfigpngpurrrR6rappdirsRColorBrewerrlangRSQLiteS4VectorsS7scalesSeqinfostringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewithrXVectoryaml

EpipwR

Rendered fromEpipwR.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2024-10-07
Started: 2024-05-22