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As a general software reference for the _monitoring_ functionality, please cite:
Salmon M, Schumacher D, Höhle M (2016). “Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance.” Journal of Statistical Software, 70(10), 1–35. doi:10.18637/jss.v070.i10.
As a general reference for the spatio-temporal _modeling_ frameworks, please cite:
Meyer S, Held L, Höhle M (2017). “Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance.” Journal of Statistical Software, 77(11), 1–55. doi:10.18637/jss.v077.i11.
References to the underlying methodological papers can be found via 'surveillance:::REFERENCES' and on the help pages of the functions.
Corresponding BibTeX entries:
@Article{, author = {Maëlle Salmon and Dirk Schumacher and Michael Höhle}, title = {Monitoring Count Time Series in {R}: Aberration Detection in Public Health Surveillance}, journal = {Journal of Statistical Software}, year = {2016}, volume = {70}, number = {10}, pages = {1--35}, doi = {10.18637/jss.v070.i10}, }
@Article{, author = {Sebastian Meyer and Leonhard Held and Michael Höhle}, title = {Spatio-Temporal Analysis of Epidemic Phenomena Using the {R} Package {surveillance}}, journal = {Journal of Statistical Software}, year = {2017}, volume = {77}, number = {11}, pages = {1--55}, doi = {10.18637/jss.v077.i11}, }
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.