dfree_index_multi

This function returns the index we want to maximize on the set of potential clusters, for each potential cluster

Allows to detect spatial clusters of abnormal values on multivariate or functional data. Martin KULLDORFF and Lan HUANG and Kevin KONTY (2009) <doi:10.1186/1476-072X-8-58>, Inkyung JUNG and Ho Jin CHO (2015) <doi:10.1186/s12942-015-0024-6>, Lionel CUCALA and Michael GENIN and Caroline LANIER and Florent OCCELLI (2017) <doi:10.1016/j.spasta.2017.06.001>, Lionel CUCALA and Michael GENIN and Florent OCCELLI and Julien SOULA (2019) <doi:10.1016/j.spasta.2018.10.002>, Camille FREVENT and Mohamed-Salem AHMED and Matthieu MARBAC and Michael GENIN (2021) <doi:10.1016/j.spasta.2021.100550>, Zaineb SMIDA and Lionel CUCALA and Ali GANNOUN and Ghislain Durif (2022) <doi:10.1016/j.csda.2021.107378>, Camille FREVENT and Mohamed-Salem AHMED and Sophie DABO-NIANG and Michael GENIN (2023) <doi:10.1093/jrsssc/qlad017>.

Camille FREVENT

HDSpatialScan

Multivariate and Functional Spatial Scan Statistics

Mohamed-Salem AHMED

Julien SOULA

Zaineb SMIDA

Lionel CUCALA

Sophie DABO-NIANG

Michaël GENIN

dfree_index_multi function

<dl><dt>data</dt>
<dd>List. List of the data, each element of the list corresponds to a site (or an individual), for each element each row corresponds to a variable and each column represents an observation time.</dd>
<dt>matrix_clusters</dt>
<dd>numeric matrix. Matrix in which each column represents a potential cluster. It is the result of the "clusters" function.</dd></dl>

Arguments

Index for the MDFFSS scan procedure — dfree_index_multi

<dl>

<dt>data</dt>
<dd>List. List of the data, each element of the list corresponds to a site (or an individual), for each element each row corresponds to a variable and each column represents an observation time.</dd>


<dt>matrix_clusters</dt>
<dd>numeric matrix. Matrix in which each column represents a potential cluster. It is the result of the "clusters" function.</dd>

</dl>

dfree_index_multi: Index for the MDFFSS scan procedure

Description

Usage

Value

Arguments