R package implementing methods for multivariate multiple regression with adaptive shrinkage priors (mr.mash).
Install and load the package using remotes:
remotes::install_github("stephenslab/mr.mash.alpha")
library(mr.mash.alpha)Note that installing the package will require a C++ compiler setup that is appropriate for the version of R installed on your computer. For details, refer to the documentation on the CRAN website.
This command should automatically install all required packages if they are not installed already.
If you find the mr.mash.alpha package or any of the source code in this
repository useful for your work, please cite:
Morgante, F., Carbonetto, P., Wang, G., Zou, Y., Sarkar, A. & Stephens, M. (2023). A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes. PLoS Genetics 19(7): e1010539. https://doi.org/10.1371/journal.pgen.1010539
If you use any of the summary data methods such as mr.mash.rss, please also cite:
Kunkel, D., Sørensen, P., Shankar, V. & Morgante, F. (2024). Improving polygenic prediction from summary data by learning patterns of effect sharing across multiple phenotypes. bioRxiv 2024.05.06.592745. https://doi.org/10.1101/2024.05.06.592745
Copyright (c) 2020-2024, Fabio Morgante, Jason Willwerscheid, Gao Wang, Deborah Kunkel, Peter Carbonetto and Matthew Stephens.
All source code and software in this repository are made available under the terms of the MIT license.