[med-svn] r20540 - trunk/packages/R/r-cran-surveillance/trunk/debian

[Andreas Tille]

Author: tille
Date: 2015-11-24 21:59:16 +0000 (Tue, 24 Nov 2015)
New Revision: 20540

Modified:
   trunk/packages/R/r-cran-surveillance/trunk/debian/changelog
   trunk/packages/R/r-cran-surveillance/trunk/debian/control
Log:
Update description


Modified: trunk/packages/R/r-cran-surveillance/trunk/debian/changelog
===================================================================
--- trunk/packages/R/r-cran-surveillance/trunk/debian/changelog	2015-11-24 21:47:58 UTC (rev 20539)
+++ trunk/packages/R/r-cran-surveillance/trunk/debian/changelog	2015-11-24 21:59:16 UTC (rev 20540)
@@ -1,6 +1,7 @@
 r-cran-surveillance (1.10-0-2) UNRELEASED; urgency=medium
 
   * Update copyright information
+  * Update description
 
  -- Andreas Tille <tille at debian.org>  Tue, 24 Nov 2015 22:47:03 +0100
 

Modified: trunk/packages/R/r-cran-surveillance/trunk/debian/control
===================================================================
--- trunk/packages/R/r-cran-surveillance/trunk/debian/control	2015-11-24 21:47:58 UTC (rev 20539)
+++ trunk/packages/R/r-cran-surveillance/trunk/debian/control	2015-11-24 21:59:16 UTC (rev 20540)
@@ -35,16 +35,37 @@
             r-cran-spdep,
             r-cran-memoise,
             r-cran-maxlik,
-            r-cran-rcpp,
-            r-cran-spdep
-Description: development and the evaluation of epidemiological outbreak detection algorithms
- The R-package 'surveillance' is a framework for the development and the
- evaluation of outbreak detection algorithms in univariate and multivariate
- routine collected public health surveillance data. It is hosted on CRAN..
+            r-cran-rcpp
+Description: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
+ Implementation of statistical methods for the modeling and change-point
+ detection in time series of counts, proportions and categorical data, as
+ well as for the modeling of continuous-time epidemic phenomena, e.g.,
+ discrete-space setups such as the spatially enriched
+ Susceptible-Exposed-Infectious-Recovered (SEIR) models, or
+ continuous-space point process data such as the occurrence of infectious
+ diseases. Main focus is on outbreak detection in count data time series
+ originating from public health surveillance of communicable diseases,
+ but applications could just as well originate from environmetrics,
+ reliability engineering, econometrics or social sciences.
  .
- The intention of the R-package surveillance is to provide open source
- software for the visualization and monitoring of count data time series
- in public health surveillance. Potential users are epidemiologists and
- others working in applied infectious disease epidemiology.
- Furthermore, surveillance also provides a data structure and framework
- for methodological developments of surveillance algorithms.
+ Currently, the package contains implementations of many typical
+ outbreak detection procedures such as Farrington et al (1996), Noufaily
+ et al (2012) or the negative binomial LR-CUSUM method described in Höhle
+ and Paul (2008). A novel CUSUM approach combining logistic and
+ multinomial logistic modelling is also included.  Furthermore, inference
+ methods for the retrospective infectious disease models in Held et al
+ (2005), Held et al (2006), Paul et al (2008), Paul and Held (2011), Held
+ and Paul (2012), and Meyer and Held (2014) are provided.
+ .
+ Continuous self-exciting spatio-temporal point processes are modeled
+ through additive-multiplicative conditional intensities as described in
+ Höhle (2009) ('twinSIR', discrete space) and Meyer et al (2012)
+ ('twinstim', continuous space).
+ .
+ The package contains several real-world data sets, the ability to
+ simulate outbreak data, visualize the results of the monitoring in
+ temporal, spatial or spatio-temporal fashion.
+ .
+ Note: Using the 'boda' algorithm requires the 'INLA' package, which
+ should be installed automatically through the specified
+ Additional_repositories, if uninstalled dependencies are also requested.