This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see adaptest.
Bioconductor version: 3.7
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 (
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("adaptest")
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 |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, DimensionReduction, GeneExpression, Genetics, Microarray, MultipleComparison, Regression, Sequencing, Software |
Version | 1.0.0 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | adaptest_1.0.0.tar.gz |
Windows Binary | adaptest_1.0.0.zip |
Mac OS X 10.11 (El Capitan) | adaptest_1.0.0.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 | http://bioconductor.org/packages/adaptest/ |
Package Downloads Report | Download Stats |
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