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: 2026-09-26 07:08:30 UTC; root
Author: Bowen Gang [aut, cre], Hongmei Lin [aut], Tiejun Tong [aut]
Maintainer: Bowen Gang <gangbowen02@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-12-09 16:30:34 UTC
RemoteUrl: https://github.com/cran/AdaptiveBoxplot
RemoteRef: HEAD
RemoteSha: 99c6b8f3697cf96946a5c5e365dc80ceedcb69d2