Package: surveillance
Title: Outbreak detection algorithms for surveillance data
Version: 1.0-3
Date: 2009-05-03
Author: M. H\xF6hle with contributions from T. Correa, M. Hofmann, C.
        Lang, M. Paul, A. Riebler and V. Wimmer
Depends: methods,utils,xtable,spc,sp,maptools,vcd,msm
Suggests: RUnit,digest,coda
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 H\xF6hle <hoehle@stat.uni-muenchen.de>
License: GPL-2
URL: http://surveillance.r-forge.r-project.org/
ZipData: no
Encoding: latin1
Revision: 110
Packaged: Tue Mar 10 05:24:05 2009; rforge
Built: R 2.9.1; powerpc-unknown-linux-gnu; 2009-08-10 20:01:31 UTC; unix
