adaptest

DOI: 10.18129/B9.bioc.adaptest    

This is the development version of adaptest; to use it, please install the devel version of Bioconductor.

Data-Adaptive Statistics for High-Dimensional Multiple Testing

Bioconductor version: Development (3.10)

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 "3.6") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")

 

HTML R Script Data-Mining Biomarkers and High-Dimensional Testing
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, DimensionReduction, GeneExpression, Genetics, Microarray, MultipleComparison, Regression, Sequencing, Software
Version 1.5.0
In Bioconductor since BioC 3.7 (R-3.5) (1.5 years)
License GPL-2
Depends R (>= 3.5.0)
Imports origami (>= 1.0.0), tmle, calibrate, methods, graphics, stats, utils, SummarizedExperiment
LinkingTo
Suggests testthat, Matrix, SuperLearner, earth, gam, nnls, airway, rmarkdown, knitr, BiocStyle
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 adaptest_1.5.0.tar.gz
Windows Binary adaptest_1.5.0.zip
Mac OS X 10.11 (El Capitan) adaptest_1.5.0.tgz
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

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