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) .


Reference manual

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install.packages("AdaptiveBoxplot")

0.1.1 by Bowen Gang, 10 months ago


Browse source code at https://github.com/cran/AdaptiveBoxplot


Authors: Bowen Gang [aut, cre] , Hongmei Lin [aut] , Tiejun Tong [aut]


Documentation:   PDF Manual  


GPL (>= 3) license



See at CRAN