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-any)winnerscurse_0.1.1.zip(r-4.6-any)winnerscurse_0.1.1.zip(r-4.5-any)
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✨
DESCRIPTION
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:

2.86 score 5 stars 29 scripts 10 exports 20 dependencies

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

TargetResultTimeFilesSyslog
linux-develWARNING219
source / vignettesERROR303
linux-releaseWARNING239
macos-releaseWARNING254
macos-oldrelWARNING262
windows-develWARNING187
windows-releaseWARNING205
windows-oldrelWARNING195
wasm-releaseOK90

Exports:BR_sscl_intervalconditional_likelihoodcondlike_repempirical_bayesFDR_IQTMSE_minimizerse_adjustsim_statsUMVCUE

Dependencies:clidplyrgenericsgluelatticelifecyclemagrittrMatrixmgcvnlmepillarpkgconfigR6rlangscamtibbletidyselectutf8vctrswithr