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 |
| Reference manual: | AdaptiveBoxplot.html , AdaptiveBoxplot.pdf |
| Package source: | AdaptiveBoxplot_0.1.1.tar.gz |
| Windows binaries: | r-devel: AdaptiveBoxplot_0.1.1.zip, r-release: AdaptiveBoxplot_0.1.1.zip, r-oldrel: AdaptiveBoxplot_0.1.1.zip |
| 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 |
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