AdaptiveBoxplot: FDR(BH) Boxplot and FWER(Holm) Boxplot

Implements a framework for creating boxplots where the whisker lengths are determined by formal multiple testing procedures, making them adaptive to sample size and data characteristics. The function bh_boxplot() generates boxplots that control the False Discovery Rate (FDR) via the Benjamini-Hochberg procedure, and the function holm_boxplot() generates boxplots that control the Family-Wise Error Rate (FWER) via the Holm procedure. The methods are based on the framework in Gang, Lin, and Tong (2025) <doi:10.48550/arXiv.2510.20259>.

Version:	0.1.1
Depends:	R (≥ 3.5.0)
Published:	2025-12-09
DOI:	10.32614/CRAN.package.AdaptiveBoxplot
Author:	Bowen Gang [aut, cre], Hongmei Lin [aut], Tiejun Tong [aut]
Maintainer:	Bowen Gang <gangbowen02 at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	AdaptiveBoxplot results

Documentation:

Reference manual:

AdaptiveBoxplot.html , AdaptiveBoxplot.pdf

Downloads:

Package source:	AdaptiveBoxplot_0.1.1.tar.gz
Windows binaries:	r-devel: AdaptiveBoxplot_0.1.1.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): AdaptiveBoxplot_0.1.1.tgz, r-oldrel (arm64): AdaptiveBoxplot_0.1.1.tgz, r-release (x86_64): AdaptiveBoxplot_0.1.1.tgz, r-oldrel (x86_64): AdaptiveBoxplot_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AdaptiveBoxplot to link to this page.