Hypothesis tests and sure independence screening (SIS) procedure based on ball statistics, including ball divergence <doi:10.1214/17-AOS1579>, ball covariance, and ball correlation <doi:10.1080/01621459.2018.1462709>, are developed to analyze complex data. The ball divergence and ball covariance based distribution-free tests are implemented to detecting distribution difference and association in metric spaces <arXiv:1811.03750>. Furthermore, a generic non-parametric SIS procedure based on ball correlation and all of its variants are implemented to tackle the challenge in the context of ultra high dimensional data.
Version: | 1.3.7 |
Depends: | R (≥ 2.10) |
Imports: | utils, gam, survival, mvtnorm |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2018-12-14 |
Author: | Xueqin Wang, Wenliang Pan, Heping Zhang, Hongtu Zhu, Yuan Tian, Weinan Xiao, Chengfeng Liu, Jin Zhu |
Maintainer: | Jin Zhu <zhuj37 at mail2.sysu.edu.cn> |
BugReports: | https://github.com/Mamba413/Ball/issues |
License: | GPL-3 |
URL: | https://github.com/Mamba413/Ball |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | Ball results |
Reference manual: | Ball.pdf |
Vignettes: |
Ball: Statistical Inference and Sure Independence Screening via Ball Statistics |
Package source: | Ball_1.3.7.tar.gz |
Windows binaries: | r-devel: Ball_1.3.7.zip, r-release: Ball_1.3.7.zip, r-oldrel: Ball_1.3.7.zip |
OS X binaries: | r-release: Ball_1.3.7.tgz, r-oldrel: Ball_1.3.7.tgz |
Old sources: | Ball archive |
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