DOI: 10.18129/B9.bioc.adaptest    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see adaptest.

Data-Adaptive Statistics for High-Dimensional Multiple Testing

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 (). 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>

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HTML R Script Data-Mining Biomarkers and High-Dimensional Testing
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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
Suggests testthat, Matrix, SuperLearner, earth, gam, nnls, airway, rmarkdown, knitr, BiocStyle
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