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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite DClusterm in publications use:
Gómez-Rubio V, Moraga P, Molitor J, Rowlingson B (2019). “DClusterm: Model-Based Detection of Disease Clusters.” Journal of Statistical Software, 90(14), 1–26. doi:10.18637/jss.v090.i14.
Bayesian methods implemented in DClusterm are described here:
Gómez-Rubio V, Moraga P, Molitor J (2018). “Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters.” In Cameletti M, Finazzi F (eds.), Quantitative Methods in Environmental and Climate Research. Springer-Verlag. doi:10.1007/978-3-030-01584-8_1.
Corresponding BibTeX entries:
@Article{, title = {{DClusterm}: Model-Based Detection of Disease Clusters}, author = {Virgilio G\'omez-Rubio and Paula Moraga and John Molitor and Barry Rowlingson}, journal = {Journal of Statistical Software}, year = {2019}, volume = {90}, number = {14}, pages = {1--26}, doi = {10.18637/jss.v090.i14}, }
@InCollection{, title = {Fast Bayesian Classification for Disease Mapping and the Detection of Disease Clusters}, author = {Virgilio G\'omez-Rubio and Paula Moraga and John Molitor}, booktitle = {Quantitative Methods in Environmental and Climate Research}, year = {2018}, doi = {10.1007/978-3-030-01584-8_1}, editor = {Michela Cameletti and Francesco Finazzi}, publisher = {Springer-Verlag}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.