Multiple Testing Methods for Exploratory Research
Overview
Provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) doi:10.1214/11-STS356.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 17
- Examples that run
- 100%16 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 92%
- Help pages citing references
- 35%
- cherry PDF
Downloads
Dependencies
Installing cherry adds 4 packages (4 with compiled code, 2.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, lpSolve 457 KB, bitops 11 KB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.6-15Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.6-142021-05-07 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.6-132019-09-20 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.6-122018-01-29 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.6-11
Show 16 earlier eventsHide 16 earlier events
- RR 3.2.0 released · 2015-04-16
- 0.5-10
- 0.4-9
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- 0.3-8
- 0.2-62012-04-13 · diff ↗
- RR 2.15.0 released · 2012-03-30
- 0.1-5
- RR 2.14.0 released · 2011-10-31
- 0.1-42011-05-31 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 0.1-3
- 0.0.22011-02-02 · diff ↗
- 0.0.12010-10-18
- RR 2.12.0 released · 2010-10-15
Package metadata
- First published
- 2010-10-18
- Total releases
- 14 / 16 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 0.4 KB / 1 file
- Download size
- 279 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("cherry")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1002/sim.6082.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.