adaptMT: Adaptive P-Value Thresholding for Multiple Hypothesis Testing
with Side Information
Implementation of adaptive p-value thresholding (AdaPT), including both a framework that allows the user to specify any
algorithm to learn local false discovery rate and a pool of convenient functions that implement specific
algorithms. See Lei, Lihua and Fithian, William (2016) <doi:10.48550/arXiv.1609.06035>.
| Version: |
1.0.0 |
| Imports: |
methods |
| Suggests: |
glmnet, HDtweedie, mgcv, splines, testthat, knitr, rmarkdown, dplyr |
| Published: |
2018-07-31 |
| DOI: |
10.32614/CRAN.package.adaptMT |
| Author: |
Lihua Lei [aut, cre] |
| Maintainer: |
Lihua Lei <lihua.lei at berkeley.edu> |
| BugReports: |
https://github.com/lihualei71/adaptMT/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://arxiv.org/abs/1609.06035,
https://github.com/lihualei71/adaptMT |
| NeedsCompilation: |
no |
| Citation: |
adaptMT citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
adaptMT results |
Documentation:
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