Package: ColliderBias 1.0.1

Frank Dudbridge

ColliderBias: Adjust collider bias and weak instrument bias in Mendelian Randomisation

This package provides adjustment for collider bias and weak instrument bias in association statistics in the context of a genome-wide association study for a subsequent event, using CWLS (Corrected Weighted Least Squares), MR-RAPS and Slope Hunter. An estimation of true causal effect between disease progression and an exposure of interest can be computed using generalised instrument effect regression with CWBLS (Corrected Weighted Bivariate Least Squares).

Authors:Frank Dudbridge, Siyang Cai

ColliderBias_1.0.1.tar.gz
ColliderBias_1.0.1.zip(r-4.7)ColliderBias_1.0.1.zip(r-4.6)ColliderBias_1.0.1.zip(r-4.5)
ColliderBias_1.0.1.tgz(r-4.6-any)ColliderBias_1.0.1.tgz(r-4.5-any)
ColliderBias_1.0.1.tar.gz(r-4.7-any)ColliderBias_1.0.1.tar.gz(r-4.6-any)
ColliderBias_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ColliderBias/json (API)

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

Bug tracker:https://github.com/siyangcai/colliderbias/issues

Datasets:
  • testData - Sample simulated genome-wide association study (GWAS) summary statisitcs for analysis.

On CRAN:

Conda:

1.70 score 1 stars 1 scripts 2 exports 79 dependencies

Last updated from:66606d074c. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK208
linux-release-x86_64OK128
macos-release-arm64OK70
macos-oldrel-arm64OK85
windows-develOK85
windows-releaseOK72
windows-oldrelOK66
wasm-releaseOK123

Exports:CWBLSmethodCB

Dependencies:askpassbase64encbootbslibcachemclicpp11crosstalkcrulcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2ggrepelgluegridExtragtablehighrhtmltoolshtmlwidgetshttpcodehttrieugwasrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmclustmemoisemimemr.rapsnortestopensslotelpillarpkgconfigplotlyplyrpromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownrootSolversnpsS7sassscalesSlopeHunterstringistringrsystibbletidyrtidyselecttinytextriebeardurltoolsutf8vctrsviridisLitewithrxfunyaml