Package: mr.simss 0.1.0
mr.simss: MR-SimSS: Mendelian Randomisation (MR) method that combats Winner's Curse using a simulated sample splitting approach
Designed to provide users with a method, namely MR-SimSS, which uses simulated sample splitting in order to alleviate Winner's Curse bias in MR causal effect estimates. This approach also takes into account sample overlap between the exposure and outcome genome-wide association studies. It uses summary statistics from genome-wide association studies and works in combination with existing MR methods, such as IVW and MR-RAPS.
Authors:
mr.simss_0.1.0.tar.gz
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mr.simss_0.1.0.tgz(r-4.4-any)mr.simss_0.1.0.tgz(r-4.3-any)
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mr.simss.pdf |mr.simss.html✨
mr.simss/json (API)
# Install 'mr.simss' in R: |
install.packages('mr.simss', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/amandaforde/mr.simss/issues
Last updated 2 months agofrom:27d81e0378. Checks:OK: 1 WARNING: 6. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | WARNING | Oct 25 2024 |
R-4.5-linux | WARNING | Oct 25 2024 |
R-4.4-win | WARNING | Oct 25 2024 |
R-4.4-mac | WARNING | Oct 25 2024 |
R-4.3-win | WARNING | Oct 25 2024 |
R-4.3-mac | WARNING | Oct 25 2024 |
Exports:est_lambdamr_simsssplit2split3
Dependencies:abindaskpassbase64encbitbit64bootbslibcachemclicliprcodetoolscolorspaceCompQuadFormcowplotcpp11crayoncrosstalkcurldata.tabledigestdoParalleldplyrevaluatefansifarverfastmapfontawesomeforeachfsgenericsggplot2glmnetglueGPArotationgridExtragtablehighrhmshtmltoolshtmlwidgetshttrieugwasrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelme4magrittrMASSmathjaxrMatrixmemoisemetametadatmetaformgcvmimeminqamnormtmr.rapsMRMixMRPRESSOmunsellnlmenloptrnortestnumDerivopensslpbapplypillarpkgconfigplotlyplyrpracmaprettyunitsprogresspromisespsychpurrrR6RadialMRrappdirsRColorBrewerRcppRcppEigenreadrreshape2rlangrmarkdownsassscalesshapestringistringrsurvivalsystibbletidyrtidyselecttinytexTwoSampleMRtzdbutf8vctrsviridisLitevroomwithrxfunxml2yaml
Deriving MR-SimSS
Rendered fromderive-MR-SimSS.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-09-24
Started: 2023-11-07
MR-SimSS: The algorithm
Rendered fromMR-SimSS-algorithm.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-09-25
Started: 2024-09-19
Performing MR-SimSS
Rendered fromperform-MR-SimSS.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-09-24
Started: 2023-11-06
Winner's Curse and weak instrument bias in MR
Rendered fromwc_wib.Rmd
usingknitr::rmarkdown
on Oct 25 2024.Last update: 2024-09-19
Started: 2024-09-19
Readme and manuals
Help Manual
Help page | Topics |
---|---|
mr.simss: Mendelian Randomisation (MR) method that combats Winner's Curse using a simulated sample splitting approach | mr.simss-package mr.simss |
Estimating correlation between SNP-exposure and SNP-outcome effect sizes | est_lambda |
MR-SimSS main function | mr_simss |
Simulating 2 splits with MR-SimSS | split2 |
Simulating 3 splits with MR-SimSS | split3 |