The R Package HDSpatialScan for the Detection of Clusters of Multivariate and Functional Data using Spatial Scan Statistics

被引：0
作者：
Frevent, Camille [1 ]
Ahmed, Mohamed-Salem [2 ]
Soula, Julien [2 ]
Smida, Zaineb [3 ]
Cucala, Lionel [3 ]
Dabo-Niang, Sophie [4 ]
Genin, Michael [2 ]
机构：
[1] Univ Lille, CHU Lille, METRICS Evaluat Technol Sante & Prat Med, INRIA,MODAL,ULR 2694, F-59000 Lille, France
[2] Univ Lille, CHU Lille, METRICS Evaluat Technol Sante & Prat Med, ULR 2694, F-59000 Lille, France
[3] Univ Montpellier, IMAG, CNRS, Montpellier, France
[4] Univ Lille, CNRS, UMR 8524, INRIA,Lab Paul Painvele,MODAL, F-59000 Lille, France
来源：
R JOURNAL | 2022年 / 14卷 / 03期
关键词：
REGRESSION; TESTS;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper introduces the R package HDSpatialScan. This package allows users to easily apply spatial scan statistics to real-valued multivariate data or both univariate and multivariate functional data. It also permits plotting the detected clusters and to summarize them. In this article the methods are presented and the use of the package is illustrated through examples on environmental data provided in the package.
引用
收藏
页码：95 / 120
页数：26
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