Package: surveillance
Title: Outbreak detection algorithms for surveillance data
Version: 0.9-9
Date: 2008-21-01
Author: M. Hhle with contributions from C. Lang, M. Paul, A. Riebler and V. Wimmer
Depends: methods,utils,xtable,spc,sp,maptools,vcd,msm
Suggests: RUnit,digest
Description: A package implementing statistical methods for the surveillance of infectious diseases. This boils down to modelling and outbreak detection of univariate and multivariate time series of counts resulting from routinely collected public health surveillance data. Currently the package contains an implementation of the typically outbreak detection procedures such as Stroup et. al (1989), Farrington et. al (1996), Rossi et al (1999), Rogerson and Yamada (2001), a Bayesian approach and a detector based on generalized likelihood ratios (GLR). Furthermore, inference methods for the infectious disease model in Held et al (2005) are provided. The package contains several real-world datasets and the ability to simulate outbreak data.
Maintainer: Michael Hhle <hoehle@stat.uni-muenchen.de> 
License: GPL-2 
URL: http://surveillance.r-forge.r-project.org/
ZipData: no 
Encoding: latin1
Packaged: Mon Jan 21 13:42:08 2008; hoehle
