Implements Poisson multivariate adaptive shrinkage ("Poisson mash") for analyzing count data obtained in different conditions or treatments. Poisson mash takes an empirical Bayes approach to testing and effect estimation; it estimates patterns of similarity among conditions, then exploits these patterns to improve accuracy of the effect estimates. This is an adaptation of the mash package that is better suited fo modeling count data in a range of realistic settings.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1-101 |
URL | https://github.com/stephenslab/poisson.mash.alpha |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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