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adaptMT: Adaptive P-Value Thresholding for Multiple Hypothesis Testingwith 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 + fileLICENSE
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:

Please use the canonical formhttps://CRAN.R-project.org/package=adaptMTto link to this page.


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