Package: gsmr2 1.1.1

Zhihong Zhu

gsmr2: gsmr2 - a tool for causal inference between complex traits

GSMR2 (Generalised Summary-data-based Mendelian Randomisation v2) is an improved version of GSMR, which uses GWAS summary statistics to test for a putative causal association between two phenotypes (e.g., a modifiable risk factor and a disease) based on a multi-SNP model. This version implements a global heterogeneity test to remove invalid instrumental variables and provides a causal estimation that is more robust to directional pleiotropy.

Authors:Zhihong Zhu, Angli Xue, Zhili Zheng, Futao Zhang, Jian Yang

gsmr2_1.1.1.tar.gz
gsmr2_1.1.1.zip(r-4.7)gsmr2_1.1.1.zip(r-4.6)gsmr2_1.1.1.zip(r-4.5)
gsmr2_1.1.1.tgz(r-4.6-any)gsmr2_1.1.1.tgz(r-4.5-any)
gsmr2_1.1.1.tar.gz(r-4.7-any)gsmr2_1.1.1.tar.gz(r-4.6-any)
gsmr2_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gsmr2/json (API)

# Install 'gsmr2' in R:
install.packages('gsmr2', repos = c('https://mrcieu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jianyanglab/gsmr2/issues

On CRAN:

Conda:

4.02 score 21 stars 5 scripts 3 exports 14 dependencies

Last updated from:e7953cc136. Checks:8 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR138
source / vignettesERROR183
linux-release-x86_64ERROR137
macos-release-arm64ERROR86
macos-oldrel-arm64ERROR102
windows-develERROR95
windows-releaseERROR96
windows-oldrelERROR94
wasm-releaseOK106

Exports:bi_gsmrgsmrstd_effect

Dependencies:commonmarkDBIlatticelitedownmarkdownMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvivalxfun

An Introduction to gsmr

Rendered fromGSMR-intro.Rmdusingknitr::rmarkdownon May 22 2026.

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