macaques

Male and female macaque skull data. 7 landmarks in 3 dimensions, 
18 individuals (9 males, 9 females)

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.

Jin Zhu

Ball

Statistical Inference and Sure Independence Screening via Ball
Statistics

Wenliang Pan

Yuan Tian

Weinan Xiao

Chengfeng Liu

Ruihuang Liu

Yue Hu

Hongtu Zhu

Heping Zhang

Xueqin Wang

macaques function

<ul>
<li><code>macaques$x</code>: An array of dimension $7 \times 3 \times 18$
<code>macaques$group</code>: A factor indicating the sex ('m' for male and 'f' for female)</li>
</ul>

Format

Male and Female macaque data — macaques

Male and Female macaque data

macaques: Male and Female macaque data

Description

Arguments

Format

Details

References