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
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ColliderBias_1.0.1.tgz(r-4.4-any)ColliderBias_1.0.1.tgz(r-4.3-any)
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ColliderBias.pdf |ColliderBias.html
ColliderBias/json (API)

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

Peer review:

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

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

On CRAN:

2 exports 2.30 score 76 dependencies 1 scripts

Last updated 2 months agofrom:66bd1d9e70. Checks:OK: 7. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
R-4.3-winOKSep 17 2024
R-4.3-macOKSep 17 2024

Exports:CWBLSmethodCB

Dependencies:askpassbase64encbootbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrieugwasrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmclustmemoisemgcvmimemr.rapsmunsellnlmenortestopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesSlopeHunterstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml