ebnm: Solve the Empirical Bayes Normal Means Problem
Provides simple, fast, and stable functions to fit the normal
means model using empirical Bayes. For available models and details, see
function ebnm(). A comprehensive introduction to the package is provided
by Willwerscheid and Stephens (2021) <arXiv:2110.00152>.
| Version: |
1.0-9 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
stats, methods, ashr, mixsqp, truncnorm, trust, horseshoe, deconvolveR, magrittr, rlang, dplyr, ggplot2 |
| Suggests: |
testthat, numDeriv, REBayes |
| Published: |
2022-03-08 |
| Author: |
Willwerscheid Jason [aut],
Stephens Matthew [aut],
Carbonetto Peter [aut, cre],
Goldstein Andrew [ctb] |
| Maintainer: |
Carbonetto Peter <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 |
Documentation:
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