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) <arXiv:1609.06035>.

Version: 1.0.0
Imports: methods
Suggests: glmnet, HDtweedie, mgcv, splines, testthat, knitr, rmarkdown, dplyr
Published: 2018-07-31
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

Downloads:

Reference manual: adaptMT.pdf
Vignettes: Introduction to 'adaptMT' package
Package source: adaptMT_1.0.0.tar.gz
Windows binaries: r-devel: adaptMT_1.0.0.zip, r-devel-gcc8: adaptMT_1.0.0.zip, r-release: adaptMT_1.0.0.zip, r-oldrel: adaptMT_1.0.0.zip
OS X binaries: r-release: adaptMT_1.0.0.tgz, r-oldrel: adaptMT_1.0.0.tgz

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