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:

2.40 score 1 scripts 2 exports 76 dependencies

Last updated 22 days agofrom:66606d074c. Checks:OK: 7. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:CWBLSmethodCB

Dependencies:askpassbase64encbootbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrieugwasrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmclustmemoisemgcvmimemr.rapsmunsellnlmenortestopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesSlopeHunterstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml