DCluster

DCluster: Functions for the detection of spatial clusters of diseases. A set of functions for the detection of spatial clusters of disease using count data. Bootstrap is used to estimate sampling distributions of statistics.

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References in zbMATH (referenced in 5 articles )

Showing results 1 to 5 of 5.
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  1. Aboukhamseen, S.M.; Soltani, A.R.; Najafi, M.: Modelling cluster detection in spatial scan statistics: formation of a spatial Poisson scanning window and an ADHD case study (2016)
  2. Bilancia, Massimo; Demarinis, Giacomo: Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA) (2014)
  3. Hossain, Md.Monir; Lawson, Andrew B.: Approximate methods in Bayesian point process spatial models (2009)
  4. Sauleau, Erik-A.; Musio, Monica; Etienne, Arnaud; Antoine Buemi: Comparison of three convolution prior spatial models for cancer incidence (2007)
  5. Gómez-Rubio, V.; Ferrándiz-Ferragud, J.; López-Quílez, A.: Detecting clusters of disease with R. (2005) ioport