Encoding: UTF-8
Package: hJAM
Type: Package
Title: Hierarchical Joint Analysis of Marginal Summary Statistics
Version: 1.0.1
Author: Lai Jiang <jian848@usc.edu>
Maintainer: Lai Jiang <jian848@usc.edu>
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."
        <bioRxiv><doi:10.1101/2020.02.03.924241>.
License: MIT + file LICENSE
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/USCbiostats/hJAM
BugReports: https://github.com/USCbiostats/hJAM/issues
Depends: R (>= 3.5.0)
Imports: ggplot2, reshape2, glmnet, susieR, dplyr, utils, tibble,
        matrixcalc, Rmpfr
Remotes: github::lailylajiang/susieR
Config/pak/sysreqs: libgmp3-dev libicu-dev libmpfr-dev
Repository: https://uscbiostats.r-universe.dev
Date/Publication: 2024-01-19 22:35:29 UTC
RemoteUrl: https://github.com/uscbiostats/hjam
RemoteRef: HEAD
RemoteSha: a15efa0fcc216f2e0b79e240dd85636cc9f29fc8
NeedsCompilation: no
Packaged: 2026-06-16 07:50:03 UTC; root