Provides simple, fast, and stable functions to fit the normal
means model using empirical Bayes. For available models and details, see
function ebnm(). A detailed introduction to the package is provided
by Willwerscheid and Stephens (2021) <doi:10.48550/arXiv.2110.00152>.
| Version: |
1.1-2 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
stats, ashr, mixsqp, truncnorm, trust, horseshoe, deconvolveR, magrittr, rlang, dplyr, ggplot2 |
| Suggests: |
testthat, numDeriv, REBayes, knitr, rmarkdown, cowplot |
| Published: |
2023-10-12 |
| DOI: |
10.32614/CRAN.package.ebnm |
| Author: |
Jason Willwerscheid [aut],
Matthew Stephens [aut],
Peter Carbonetto [aut, cre],
Andrew Goldstein [ctb],
Yusha Liu [ctb] |
| Maintainer: |
Peter Carbonetto <peter.carbonetto at gmail.com> |
| BugReports: |
https://github.com/stephenslab/ebnm/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/stephenslab/ebnm |
| NeedsCompilation: |
no |
| Citation: |
ebnm citation info |
| Materials: |
README |
| CRAN checks: |
ebnm results |