Package: AdaptiveBoxplot
Title: FDR(BH) Boxplot and FWER(Holm) Boxplot
Version: 0.1.1
Authors@R: c(
    person("Bowen", "Gang", email = "gangbowen02@gmail.com", role = c("aut", "cre")),
    person("Hongmei", "Lin", email = "hmlin@suibe.edu.cn", role = "aut"),
    person("Tiejun", "Tong", email = "tongt@hkbu.edu.hk", role = "aut"))
Description: 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>. 
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2025-12-04 01:13:52 UTC; bowengang
Author: Bowen Gang [aut, cre],
  Hongmei Lin [aut],
  Tiejun Tong [aut]
Maintainer: Bowen Gang <gangbowen02@gmail.com>
Repository: CRAN
Date/Publication: 2025-12-09 16:30:34 UTC
Built: R 4.6.0; ; 2026-04-25 16:01:07 UTC; unix
