[R-pkgs] Package surveillance (v0.9-8) on CRAN

Dear R Community,

I would like to announce the package "surveillance", which provides methods for the surveillance of count data time series originating from the routine collection of public health data.

The package addresses epidemiologists and statisticians working with routine surveillance, but it also offers an infrastructure for developers of new detection algorithms.

Implemented outbreak detection algorithms are:
* Stroup et al. (1989)

• Farrington et al. (1996)
• A Bayesian predictive posterior approach
• Time varying Poisson means as documented in Rogerson and Yamada (2004)
• Approximate CUSUM method for time varying Poisson means by Rossi et al. (1999)
• A generalized likelihood ratio detector for time varying Poisson and and negative binomial means

Modelling routines:
* A Poisson and negative binomial model for the analysis of
multivariate infectious disease surveillance data described in Held et al. (2005)

The paper available from http://dx.doi.org/10.1007/s00180-007-0074-8 provides a good overview of the package. Source code and binaries (currently version 0.9-8) are available from CRAN. Visit the R-Forge project web page for more information, development versions and forums to discuss ideas and report bugs:

                   http://surveillance.r-forge.r-project.org/

I would appreciate hearing about your experiences with the package.

Best regards,

Michael
-on behalf of the surveillance development team

--

Michael Höhle, Ph.D.
Department of Statistics
University of Munich
Ludwigstr. 33
80539 Munich
Germany

Homepage: http://www.stat.uni-muenchen.de/~hoehle

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