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
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gsmr.pdf |gsmr.html✨
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

Datasets:

On CRAN:

4 exports 3.04 score 10 dependencies 22 scripts

Last updated 1 years agofrom:53f5034f4e. Checks:ERROR: 7. Indexed: no.

Target	Result	Date
Doc / Vignettes	FAIL	Sep 09 2024
R-4.5-win	ERROR	Sep 09 2024
R-4.5-linux	ERROR	Sep 09 2024
R-4.4-win	ERROR	Sep 09 2024
R-4.4-mac	ERROR	Sep 09 2024
R-4.3-win	ERROR	Sep 09 2024
R-4.3-mac	ERROR	Sep 09 2024

Exports:bi_gsmr gsmr heidi_outlier std_effect

Dependencies:DBI lattice Matrix minqa mitools numDeriv Rcpp RcppArmadillo survey survival

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

Rendered fromGSMR-intro.Rmdusingknitr::rmarkdownon Sep 09 2024.

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

Development and contributors

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