文章基本信息

标题：Computing the Oja Median in R: The Package OjaNP
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作者：Daniel Fischer ; Karl Mosler ; Jyrki Möttönen 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2020
卷号：92
期号：1
页码：1-36
DOI：10.18637/jss.v092.i08
出版社：University of California, Los Angeles
摘要：The Oja median is one of several extensions of the univariate median to the multivariate case. It has many desirable properties, but is computationally demanding. In this paper, we first review the properties of the Oja median and compare it to other multivariate medians. Then, we discuss four algorithms to compute the Oja median, which are implemented in our R package OjaNP. Besides these algorithms, the package contains also functions to compute Oja signs, Oja signed ranks, Oja ranks, and the related scatter concepts. To illustrate their use, the corresponding multivariate one- and C-sample location tests are implemented.
关键词：Oja median; Oja signs; Oja signed ranks; Oja ranks; R; C++.
其他关键词：Oja median;Oja signs;Oja signed ranks;Oja ranks;R;C