HDSpatialScan-package {HDSpatialScan} | R Documentation |
Multivariate and Functional Spatial Scan Statistics
Description
Allows to detect spatial clusters of abnormal values on multivariate or functional data.
Details
Package: | HDSpatialScan |
Type: | Package |
Version: | 1.0.4 |
Date: | 2023-05-24 |
License: | GPL-3 |
LazyLoad: | yes |
Author(s)
FREVENT Camille, AHMED Mohamed-Salem, SOULA Julien, SMIDA Zaineb, CUCALA Lionel, DABO-NIANG Sophie and GENIN Michaël. Maintainer: FREVENT Camille <camille.frevent@univ-lille.fr>
References
Martin Kulldorff and Lan Huang and Kevin Konty (2009). A Scan Statistic for Continuous Data Based on the Normal Probability Model. International Journal of Health Geographics, 8 (58).
Inkyung Jung and Ho Jin Cho (2015). A Nonparametric Spatial Scan Statistic for Continuous Data. International Journal of Health Geographics, 14.
Lionel Cucala and Michaël Genin and Caroline Lanier and Florent Occelli (2017). A Multivariate Gaussian Scan Statistic for Spatial Data. Spatial Statistics, 21, 66-74.
Lionel Cucala and Michaël Genin and Florent Occelli and Julien Soula (2019). A Multivariate Nonparametric Scan Statistic for Spatial Data. Spatial statistics, 29, 1-14.
Camille Frévent and Mohamed-Salem Ahmed and Matthieu Marbac and Michaël Genin (2021). Detecting Spatial Clusters in Functional Data: New Scan Statistic Approaches. Spatial Statistics, 46.
Zaineb Smida and Lionel Cucala and Ali Gannoun and Ghislain Durif (2022). A Wilcoxon-Mann-Whitney spatial scan statistic for functional data. Computational Statistics & Data Analysis, 167.
Camille Frévent and Mohamed-Salem Ahmed and Sophie Dabo-Niang and Michaël Genin (2023). Investigating Spatial Scan Statistics for Multivariate Functional Data. Journal of the Royal Statistical Society Series C: Applied Statistics, 72(2), 450-475.