Package: adaptMT 1.0.0

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>.

Authors:Lihua Lei [aut, cre]

adaptMT_1.0.0.tar.gz
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adaptMT.pdf |adaptMT.html
adaptMT/json (API)
NEWS

# Install 'adaptMT' in R:
install.packages('adaptMT', repos = c('https://lihualei71.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lihualei71/adaptmt/issues

Datasets:

On CRAN:

Conda:

5.33 score 9 stars 48 scripts 235 downloads 1 mentions 14 exports 0 dependencies

Last updated 4 years agofrom:d912b9f7b4. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 31 2025
R-4.5-winNOTEMar 31 2025
R-4.5-macNOTEMar 31 2025
R-4.5-linuxNOTEMar 31 2025
R-4.4-winNOTEMar 31 2025
R-4.4-macNOTEMar 31 2025
R-4.4-linuxNOTEMar 31 2025
R-4.3-winOKMar 31 2025
R-4.3-macOKMar 31 2025

Exports:adaptadapt_gamadapt_glmadapt_glmnetbeta_familycorr_lfdrctgm_lfdrgen_adapt_modelgen_exp_familyinv_gaussian_familyplot_1d_lfdrplot_1d_threshplot_2d_lfdrplot_2d_thresh

Dependencies:

Introduction to adaptMT package

Rendered fromadapt_demo.Rmdusingknitr::rmarkdownon Mar 31 2025.

Last update: 2018-07-24
Started: 2018-07-21