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-4.5)gsmr2_1.1.1.zip(r-4.4)gsmr2_1.1.1.zip(r-4.3)
gsmr2_1.1.1.tgz(r-4.4-any)gsmr2_1.1.1.tgz(r-4.3-any)
gsmr2_1.1.1.tar.gz(r-4.5-noble)gsmr2_1.1.1.tar.gz(r-4.4-noble)
gsmr2_1.1.1.tgz(r-4.4-emscripten)gsmr2_1.1.1.tgz(r-4.3-emscripten)
gsmr2.pdf |gsmr2.html✨
gsmr2/json (API)

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

Peer review:

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

Datasets:

    On CRAN:

    4.35 score 9 stars 2 scripts 3 exports 13 dependencies

    Last updated 7 months agofrom:e7953cc136. Checks:ERROR: 7. Indexed: no.

    TargetResultDate
    Doc / VignettesFAILNov 08 2024
    R-4.5-winERRORNov 08 2024
    R-4.5-linuxERRORNov 08 2024
    R-4.4-winERRORNov 08 2024
    R-4.4-macERRORNov 08 2024
    R-4.3-winERRORNov 08 2024
    R-4.3-macERRORNov 08 2024

    Exports:bi_gsmrgsmrstd_effect

    Dependencies:commonmarkDBIlatticemarkdownMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvivalxfun

    An Introduction to gsmr

    Rendered fromGSMR-intro.Rmdusingknitr::rmarkdownon Nov 08 2024.

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