CenterForStatistics-UGent/rransi: Resampling Collapsed Null Distributions for Simultaneous Inference

Improves simultaneous inference under dependence of tests by estimating a collapsed null distribution through resampling. Accounting for the dependence between tests increases the power while reducing the variability of the false discovery proportion. This dependence is common in genomics applications, e.g. when combining flow cytometry measurements with microbiome sequence counts.

Getting started

Package details

AuthorStijn Hawinkel <>
Bioconductor views FlowCytometry Metagenomics Microbiome MultipleComparison
MaintainerJoris Meys <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
CenterForStatistics-UGent/rransi documentation built on Nov. 19, 2020, 2:45 a.m.