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 <arXiv:1811.03750>. 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.

Version: 1.3.9
Depends: R (≥ 2.10)
Imports: utils, gam, survival, mvtnorm
Suggests: knitr, rmarkdown, testthat
Published: 2019-12-17
Author: Xueqin Wang, Wenliang Pan, Heping Zhang, Hongtu Zhu, Yuan Tian, Weinan Xiao, Chengfeng Liu, Ruihuang 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

Downloads:

Reference manual: Ball.pdf
Vignettes: Ball: Statistical Inference and Sure Independence Screening via Ball Statistics
Package source: Ball_1.3.9.tar.gz
Windows binaries: r-devel: Ball_1.3.9.zip, r-release: Ball_1.3.9.zip, r-oldrel: Ball_1.3.9.zip
macOS binaries: r-release: Ball_1.3.9.tgz, r-oldrel: Ball_1.3.9.tgz
Old sources: Ball archive

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