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:Zhihong Zhu, Zhili Zheng, Futao Zhang, Jian Yang

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)
gsmr_1.0.6.tar.gz(r-4.7-any)gsmr_1.0.6.tar.gz(r-4.6-any)
gsmr_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
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

On CRAN:

Conda:

3.57 score 3 stars 25 scripts 4 exports 10 dependencies

Last updated from:53f5034f4e. Checks:8 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR141
source / vignettesERROR223
linux-release-x86_64ERROR133
macos-release-arm64ERROR117
macos-oldrel-arm64ERROR77
windows-develERROR94
windows-releaseERROR105
windows-oldrelERROR93
wasm-releaseOK149

Exports:bi_gsmrgsmrheidi_outlierstd_effect

Dependencies:DBIlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvival

An Introduction to gsmr

Rendered fromGSMR-intro.Rmdusingknitr::rmarkdownon May 08 2026.

Last update: 2023-09-13
Started: 2023-09-13