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

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
card.svg |card.png
EpipwR/json (API)
NEWS

# 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)

epigeneticsexperimentaldesign

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

Last updated from:9d8d4c28f7. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE157
linux-devel-x86_64OK285
source / vignettesOK233
linux-release-x86_64OK287
macos-release-arm64OK154
macos-oldrel-arm64OK196
windows-develOK199
windows-releaseOK199
windows-oldrelOK206
wasm-releaseOK122

Exports:EpipwR_plotget_power_ccget_power_contpwrE_to_EpipwR

Dependencies:AnnotationDbiAnnotationHubaskpassBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobcachemclicpp11crayoncurlDBIdbplyrdplyrEpipwR.dataExperimentHubfarverfastmapfilelockgenericsggplot2gluegtablehttrhttr2IRangesisobandjsonliteKEGGRESTlabelinglifecyclemagrittrmemoisemimeopensslpillarpkgconfigpngpurrrR6rappdirsRColorBrewerrlangRSQLiteS4VectorsS7scalesSeqinfostringistringrsystibbletidyrtidyselectutf8vctrsviridisLitewithrXVectoryaml

EpipwR

Rendered fromEpipwR.Rmdusingknitr::rmarkdownon May 30 2026.

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