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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 |
| Reference manual: | ebnm.pdf |
| Vignettes: |
Getting started with the ebnm package |
| Package source: | ebnm_1.1-2.tar.gz |
| Windows binaries: | r-devel: ebnm_1.1-2.zip, r-release: ebnm_1.1-2.zip, r-oldrel: ebnm_1.1-2.zip |
| macOS binaries: | r-release (arm64): ebnm_1.1-2.tgz, r-oldrel (arm64): ebnm_1.1-2.tgz, r-release (x86_64): ebnm_1.1-2.tgz, r-oldrel (x86_64): ebnm_1.1-2.tgz |
| Old sources: | ebnm archive |
| Reverse depends: | flashier |
| Reverse suggests: | mashr |
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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.