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, ball covariance, and ball correlation, are developed to analyze complex data. The ball divergence and ball covariance based distribution-free tests are implemented to examine equality of multivariate distributions and independence between random vectors of arbitrary dimensions. 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: 1.0.0
Depends: R (≥ 2.10), gam, survival
Imports: utils
Suggests: knitr, rmarkdown
Published: 2018-01-03
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
CRAN checks: Ball results

Downloads:

Reference manual: Ball.pdf
Vignettes: Ball: Statistical Inference and Sure Independence Screening via Ball Statistics
Package source: Ball_1.0.0.tar.gz
Windows binaries: r-devel: Ball_1.0.0.zip, r-release: Ball_1.0.0.zip, r-oldrel: Ball_1.0.0.zip
OS X El Capitan binaries: r-release: Ball_1.0.0.tgz
OS X Mavericks binaries: r-oldrel: Ball_1.0.0.tgz

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