Package: Ball
Type: Package
Title: Statistical Inference and Sure Independence Screening via Ball
        Statistics
Version: 1.3.13
Date: 2023-02-12
Authors@R: c(
  person(given = "Jin", family = "Zhu", email = "zhuj37@mail2.sysu.edu.cn", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-8550-5822")),
  person(given = "Wenliang", family = "Pan", role = c("aut")),
  person(given = "Yuan", family = "Tian", role = c("aut")),
  person(given = "Weinan", family = "Xiao", role = c("aut")),
  person(given = "Chengfeng", family = "Liu", role = c("aut")),
  person(given = "Ruihuang", family = "Liu", role = c("aut")),
  person(given = "Yue", family = "Hu", role = c("aut")),
  person(given = "Hongtu", family = "Zhu", role = c("aut")),
  person(given = "Heping", family = "Zhang", role = c("aut")),
  person(given = "Xueqin", family = "Wang", email = "wangxq20@ustc.edu.cn", role = c("aut"), comment = c(ORCID = "0000-0001-5205-9950"))
  )
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>
Description: Hypothesis tests and sure independence screening (SIS)
        procedure based on ball statistics, including ball divergence
        <doi:10.1214/17-AOS1579>, ball covariance
        <doi:10.1080/01621459.2018.1543600>, and ball correlation
        <doi:10.1080/01621459.2018.1462709>, are developed to analyze
        complex data in metric spaces, e.g, shape, directional,
        compositional and symmetric positive definite matrix data. The
        ball divergence and ball covariance based distribution-free
        tests are implemented to detecting distribution difference and
        association in metric spaces <doi:10.18637/jss.v097.i06>.
        Furthermore, several generic non-parametric feature selection
        procedures based on ball correlation, BCor-SIS and all of its
        variants, are implemented to tackle the challenge in the
        context of ultra high dimensional data. A fast implementation
        for large-scale multiple K-sample testing with ball divergence
        <doi: 10.1002/gepi.22423> is supported, which is particularly
        helpful for genome-wide association study.
License: GPL-3
Packaged: 2026-10-10 15:33:30 UTC; root
RoxygenNote: 7.1.2
Depends: R (>= 2.10)
Imports: utils, gam, survival, mvtnorm
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
URL: https://mamba413.github.io/Ball/, https://github.com/Mamba413/Ball
BugReports: https://github.com/Mamba413/Ball/issues
Author: Jin Zhu [aut, cre] (<https://orcid.org/0000-0001-8550-5822>),
        Wenliang Pan [aut], Yuan Tian [aut], Weinan Xiao [aut],
        Chengfeng Liu [aut], Ruihuang Liu [aut], Yue Hu [aut], Hongtu
        Zhu [aut], Heping Zhang [aut], Xueqin Wang [aut]
        (<https://orcid.org/0000-0001-5205-9950>)
Repository: https://mamba413.r-universe.dev
Date/Publication: 2023-02-12 09:00:02 UTC
RemoteUrl: https://github.com/cran/Ball
RemoteRef: HEAD
RemoteSha: 1d1e8a4efd743e60f51b3b5752c0c9a4887a0cba