adaptest

DOI: 10.18129/B9.bioc.adaptest    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.12 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: 3.12

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 <wcai at berkeley.edu>, Nima Hejazi <nh at nimahejazi.org>, Alan Hubbard <hubbard at berkeley>

Maintainer: Weixin Cai <wcai at berkeley.edu>

Installation

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

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

BiocManager::install("adaptest")

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

Documentation

PDF		Reference Manual

Details

biocViews	DifferentialExpression, DimensionReduction, GeneExpression, Genetics, Microarray, MultipleComparison, Regression, Sequencing, Software
Version	1.10.0
In Bioconductor since	BioC 3.7 (R-3.5) (3 years)
License	GPL-2
Depends	R (>= 3.6.0)
Imports	methods, graphics, stats, utils, calibrate, origami (>= 1.0.0), SummarizedExperiment, S4Vectors, tmle
LinkingTo
Suggests	Matrix, testthat, rmarkdown, knitr, BiocStyle, SuperLearner, earth, gam, nnls, airway
SystemRequirements
Enhances
URL	https://github.com/wilsoncai1992/adaptest
BugReports	https://github.com/wilsoncai1992/adaptest/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package
Windows Binary
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
Package Short Url	https://bioconductor.org/packages/adaptest/
Package Downloads Report	Download Stats