Package: winnerscurse 0.1.1

Amanda Forde

winnerscurse: Winner's Curse Adjustment Methods for Summary Statistics from Genome-Wide Association Studies

Designed to provide users with easy access to published methods which aim to correct for Winner's Curse using only summary statistics from genome-wide association studies. With merely estimates of effect size and associated standard error for each genetic variant, users are able to implement these methods to obtain more accurate estimates of the true effect sizes. These methods can be applied to data from both quantitative and binary traits.

Authors:Amanda Forde [aut, cre]

winnerscurse_0.1.1.tar.gz
winnerscurse_0.1.1.zip(r-4.7)winnerscurse_0.1.1.zip(r-4.6)winnerscurse_0.1.1.zip(r-4.5)
winnerscurse_0.1.1.tgz(r-4.6-any)winnerscurse_0.1.1.tgz(r-4.5-any)
winnerscurse_0.1.1.tar.gz(r-4.7-any)winnerscurse_0.1.1.tar.gz(r-4.6-any)
winnerscurse_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
winnerscurse/json (API)

# Install 'winnerscurse' in R:
install.packages('winnerscurse', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/amandaforde/winnerscurse/issues

Pkgdown/docs site:https://amandaforde.github.io

On CRAN:

Conda:

2.40 score 5 stars 4 scripts 10 exports 20 dependencies

Last updated from:2ed00bb119. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING238
source / vignettesERROR295
linux-release-x86_64WARNING236
macos-release-arm64WARNING226
macos-oldrel-arm64WARNING161
windows-develWARNING143
windows-releaseWARNING206
windows-oldrelWARNING218
wasm-releaseOK112

Exports:BR_sscl_intervalconditional_likelihoodcondlike_repempirical_bayesFDR_IQTMSE_minimizerse_adjustsim_statsUMVCUE

Dependencies:clidplyrgenericsgluelatticelifecyclemagrittrMatrixmgcvnlmepillarpkgconfigR6rlangscamtibbletidyselectutf8vctrswithr