adaptest

This package is for version 3.11 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see adaptest.

Data-Adaptive Statistics for High-Dimensional Multiple Testing


Bioconductor version: 3.11

Data-adaptive test statistics represent a general methodology for performing multiple hypothesis testing on effects sizes while maintaining honest statistical inference when operating in high-dimensional settings (). The utilities provided here extend the use of this general methodology to many common data analytic challenges that arise in modern computational and genomic biology.

Author: Weixin Cai [aut, cre, cph] , Nima Hejazi [aut] , Alan Hubbard [ctb, ths]

Maintainer: Weixin Cai <wcai at berkeley.edu>

Citation (from within R, enter citation("adaptest")):

Installation

To install this package, start R (version "4.0") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("adaptest")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("adaptest")
Data-Mining Biomarkers and High-Dimensional Testing HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, DimensionReduction, GeneExpression, Genetics, Microarray, MultipleComparison, Regression, Sequencing, Software
Version 1.7.1
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-2
Depends R (>= 3.6.0)
Imports methods, graphics, stats, utils, calibrate, origami (>= 1.0.0), SummarizedExperiment, S4Vectors, tmle
System Requirements
URL https://github.com/wilsoncai1992/adaptest
Bug Reports https://github.com/wilsoncai1992/adaptest/issues
See More
Suggests Matrix, testthat, rmarkdown, knitr, BiocStyle, SuperLearner, earth, gam, nnls, airway
Linking To
Enhances
Depends On Me
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Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package adaptest_1.7.1.tar.gz
Windows Binary adaptest_1.7.1.zip
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/adaptest
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/adaptest
Bioc Package Browser https://code.bioconductor.org/browse/adaptest/
Package Short Url https://bioconductor.org/packages/adaptest/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.11 Source Archive