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mr.mashr

R package implementing methods for multivariate multiple regression with adaptive shrinkage priors (mr.mash).

Quick Start

Install and load the package using remotes:

remotes::install_github("stephenslab/mr.mashr")
library(mr.mashr)

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.

Citing this work

If you find the mr.mashr 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. (2025). > Improving polygenic prediction from summary data by learning patterns of effect > sharing across multiple phenotypes. PLoS Genetics 21(1): e1011519. > https://doi.org/10.1371/journal.pgen.1011519

License

All source code and software in this repository are made available under the terms of the MIT license.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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