Ubuntu
r-cran-surveillance package

r-cran-surveillance 1.2-1-5 source package in Ubuntu

Changelog

r-cran-surveillance (1.2-1-5) unstable; urgency=low


  * debian/control:
     - Standards-Version: 3.9.4 (no changes needed)
     - DM-Upload-Allowed removed
     - normalised using `cme fix dpkg-control`
     - drop versioned Build-Depends from r-base-dev because the
       version in latest stable is sufficient
       Closes: #709189
     - drop Build-Depends from dpkg-dev at all
     - Add Build-Depends r-cran-rcpp
  * debian/rules:
     - s/DEB_COMPRESS_EXCLUDE/DEB_COMPRESS_EXCLUDE_ALL/
     - delete non-working code to get hardening
  * README.Debian: Explain why we currently stick to an outdated
    version
  * debian/patches/namespace.patch: Add missing NAMESPACE

 -- Andreas Tille <email address hidden>  Sat, 25 May 2013 10:06:46 +0200

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
gnu-r
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-cran-surveillance_1.2-1-5.dsc 1.6 KiB 8e689be02be6aea443c7f6fe0679611d2d837fbd8edf9e7b5b8f6991401feebc
r-cran-surveillance_1.2-1.orig.tar.gz 1.4 MiB f5424f70cf797fea976f9001f31ec37b8288e644358dc6a18185a517c4b38b7f
r-cran-surveillance_1.2-1-5.debian.tar.gz 4.6 KiB b2b682edc613cf006b666e83d54edfe6ed3f3624f0f7a9a71c833216b5e84d6c

No changes file available.

Binary packages built by this source

r-cran-surveillance: 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..
 .
 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.