Ball: Statistical Inference and Sure Independence Screening via Ball
Statistics
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.
| Version: |
1.3.12 |
| Depends: |
R (≥ 2.10) |
| Imports: |
utils, gam, survival, mvtnorm |
| Suggests: |
knitr, rmarkdown, testthat |
| Published: |
2021-09-20 |
| Author: |
Jin Zhu  [aut,
cre],
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] |
| Maintainer: |
Jin Zhu <zhuj37 at mail2.sysu.edu.cn> |
| BugReports: |
https://github.com/Mamba413/Ball/issues |
| License: |
GPL-3 |
| URL: |
https://mamba413.github.io/Ball/, https://github.com/Mamba413/Ball |
| NeedsCompilation: |
yes |
| Citation: |
Ball citation info |
| Materials: |
README NEWS |
| CRAN checks: |
Ball results |
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