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hJAM
View on CRAN: Click
here
Download and install hJAM package within the R console
Install from CRAN:
install.packages("hJAM")
Install from Github:
library("remotes")
install_github("cran/hJAM")
Install by package version:
library("remotes")
install_version("hJAM", "1.0.0")
Attach the package and use:
library("hJAM")
Maintained by
Lai Jiang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.hJAM . https://github.com/lailylajiang/hJAM/issues . https://github.com/lailylajiang/hJAM . hJAM results . hJAM.pdf . hJAM vignette . hJAM_1.0.0.tar.gz . hJAM_1.0.0.zip . hJAM_1.0.0.zip . hJAM_1.0.0.zip . hJAM_1.0.0.tgz . hJAM_1.0.0.tgz . hJAM_1.0.0.tgz . hJAM_1.0.0.tgz . https://CRAN.R-project.org/package=hJAM .
First Published: 2020-02-20
Latest Update: 2020-02-20
Description:
Provides functions to implement a hierarchical approach which is designed to perform joint analysis of summary statistics using the framework of Mendelian Randomization or transcriptome analysis. Reference: Lai Jiang, Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti (2020). "A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian Randomization or Transcriptome Analysis." .
How to cite:
Lai Jiang (2020). hJAM: Hierarchical Joint Analysis of Marginal Summary Statistics. R package version 1.0.0, https://cran.r-project.org/web/packages/hJAM. Accessed 30 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for hJAM
Functions, R codes and Examples using
the hJAM R package
Some associated functions: Gl . SNPs_heatmap . SNPs_info . SNPs_scatter_plot . betas.Gy . conditional_A . get_cond_A . get_cond_alpha . hJAM_egger . hJAM_lnreg . marginal_A . output.format . print.hJAM_egger . print.hJAM_lnreg .
Some associated R codes: SNPs_heatmap.R . SNPs_scatter_plot.R . data.R . get_cond_A.R . hJAM_egger.R . hJAM_lnreg.R . print.R . Full hJAM package functions and examples
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