Overview | Citation | Installation | Update log | Tutorial | 1. Prepare data for GSMR analysis | 1.1 Load the GWAS summary data | 1.2 Estimate the LD correlation matrix | 2. Standardization | 3. GSMR analysis | 4. HEIDI-outlier analysis | 5. Bi-directional GSMR analysis | 6. Visualization
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jianyanglab. To fix this you can add URL: https://mrcieu.r-universe.dev/gsmr to the package DESCRIPTION file. See also theR-universe documentation.Package: gsmr 1.0.6
Zhihong Zhu
gsmr: gsmr - a tool for SMR and HEIDI analysis
A tool perform Generalized Summary-data-based Mendelian Randomization analysis (GSMR) and HEterogeneity In Dependent Instruments analysis to remove pleiotropic outliers (HEIDI-outlier)
Authors:
gsmr_1.0.6.tar.gz
gsmr_1.0.6.zip(r-4.7)gsmr_1.0.6.zip(r-4.6)gsmr_1.0.6.zip(r-4.5)
gsmr_1.0.6.tgz(r-4.6-any)gsmr_1.0.6.tgz(r-4.5-any)
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gsmr_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gsmr/json (API)
| # Install 'gsmr' in R: |
| install.packages('gsmr', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jianyanglab/gsmr/issues
Last updated from:53f5034f4e. Checks:8 ERROR, 1 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 136 | ||
| source / vignettes | ERROR | 157 | ||
| linux-release-x86_64 | ERROR | 139 | ||
| macos-release-arm64 | ERROR | 85 | ||
| macos-oldrel-arm64 | ERROR | 93 | ||
| windows-devel | ERROR | 82 | ||
| windows-release | ERROR | 142 | ||
| windows-oldrel | ERROR | 89 | ||
| wasm-release | OK | 116 |
Exports:bi_gsmrgsmrheidi_outlierstd_effect
Dependencies:DBIlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
An Introduction to gsmr
Last update: 2023-09-13
Started: 2023-09-13
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| gsmr: A tool for GSMR and HEIDI analysis | gsmr-package |
| Bi-directional GSMR analysis | bi_gsmr |
| Generalized Summary-data-based Mendelian Randomization analysis | gsmr |
| HEIDI-outlier analysis | heidi_outlier |
| Standardization of effect size and its standard error | std_effect |