Package: ColliderBias 1.0.1
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:
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')) |
Bug tracker:https://github.com/siyangcai/colliderbias/issues
- testData - Sample simulated genome-wide association study (GWAS) summary statisitcs for analysis.
Last updated 2 months agofrom:66bd1d9e70. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 17 2024 |
R-4.5-win | OK | Sep 17 2024 |
R-4.5-linux | OK | Sep 17 2024 |
R-4.4-win | OK | Sep 17 2024 |
R-4.4-mac | OK | Sep 17 2024 |
R-4.3-win | OK | Sep 17 2024 |
R-4.3-mac | OK | Sep 17 2024 |
Dependencies:askpassbase64encbootbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrieugwasrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmclustmemoisemgcvmimemr.rapsmunsellnlmenortestopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesSlopeHunterstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml