Package: AdaptiveBoxplot 0.1.1
Bowen Gang
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>.
Authors:
AdaptiveBoxplot_0.1.1.tar.gz
AdaptiveBoxplot_0.1.1.tar.gz(r-4.7-any)AdaptiveBoxplot_0.1.1.tar.gz(r-4.6-any)
AdaptiveBoxplot_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
AdaptiveBoxplot/json (API)
| # Install 'AdaptiveBoxplot' in R: |
| install.packages('AdaptiveBoxplot', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:99c6b8f369. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 113 | ||
| linux-release-x86_64 | OK | 101 | ||
| wasm-release | OK | 88 |
Exports:bh_boxplotholm_boxplot
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| False Discovery Rate (FDR) Boxplot | bh_boxplot |
| Family-Wise Error Rate (FWER) Boxplot | holm_boxplot |