Package: HhP
Title: Hierarchical Heterogeneity Analysis via Penalization
Version: 1.0.0
Authors@R: 
    c(person("Mingyang", "Ren", email = "renmingyang17@mails.ucas.ac.cn", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8061-9940")),
      person("Qingzhao", "Zhang", role = c("aut")),
      person("Sanguo", "Zhang", role = c("aut")),
      person("Tingyan", "Zhong", role = c("aut")),
      person("Jian", "Huang", role = c("aut")),
      person("Shuangge", "Ma", role = c("aut")))
Description: In medical research, supervised heterogeneity analysis has
        important implications. Assume that there are two types of
        features. Using both types of features, our goal is to conduct
        the first supervised heterogeneity analysis that satisfies a
        hierarchical structure. That is, the first type of features
        defines a rough structure, and the second type defines a nested
        and more refined structure. A penalization approach is
        developed, which has been motivated by but differs
        significantly from penalized fusion and sparse group
        penalization. Reference: Ren, M., Zhang, Q., Zhang, S., Zhong,
        T., Huang, J. & Ma, S. (2022). "Hierarchical cancer
        heterogeneity analysis based on histopathological imaging
        features". Biometrics, <doi:10.1111/biom.13426>.
License: GPL-2
Encoding: UTF-8
Imports: MASS, Matrix, fmrs, methods
LazyData: true
LazyLoad: yes
RoxygenNote: 7.1.2
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-03 12:01:39 UTC; root
Author: Mingyang Ren [aut, cre]
        (<https://orcid.org/0000-0002-8061-9940>), Qingzhao Zhang
        [aut], Sanguo Zhang [aut], Tingyan Zhong [aut], Jian Huang
        [aut], Shuangge Ma [aut]
Maintainer: Mingyang Ren <renmingyang17@mails.ucas.ac.cn>
Repository: https://cran.r-universe.dev
Date/Publication: 2022-11-23 10:30:11 UTC
RemoteUrl: https://github.com/cran/HhP
RemoteRef: HEAD
RemoteSha: a36e7768ee2143e481d3460e71f6463331c0601c