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:

Reference manual:	adaptMT.html , adaptMT.pdf
Vignettes:	Introduction to 'adaptMT' package (source, R code)

Downloads:

Package source:	adaptMT_1.0.0.tar.gz
Windows binaries:	r-devel: adaptMT_1.0.0.zip, r-release: adaptMT_1.0.0.zip, r-oldrel: adaptMT_1.0.0.zip
macOS binaries:	r-release (arm64): adaptMT_1.0.0.tgz, r-oldrel (arm64): adaptMT_1.0.0.tgz, r-release (x86_64): adaptMT_1.0.0.tgz, r-oldrel (x86_64): adaptMT_1.0.0.tgz

Linking:

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