r-cran-surveillance 1.7-0-1 source package in Ubuntu
Changelog
r-cran-surveillance (1.7-0-1) unstable; urgency=low
* New upstream version
* cme fix dpkg-control
* Build-Depends: r-cran-spatstat, r-cran-polycub
* debian/lintian-overrides: r-cran-rcpp seems to inject an rpath
definition and we can not really prevent this
* debian/rules: fix permissions
* debian/patches/prevent_test_from_writing_to_usr_lib.patch: make sure
tests will not try to write to /usr/lib/R
-- Andreas Tille <email address hidden> Mon, 27 Jan 2014 16:04:11 +0100
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 | Published | Component | Section | |
|---|---|---|---|---|
| Trusty | release | multiverse | science |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-surveillance_1.7-0-1.dsc | 1.6 KiB | 3dbcdd7b47357ba931a3e51ae1b6d05345149dc29d75dba60b47be0750d449e2 |
| r-cran-surveillance_1.7-0.orig.tar.gz | 2.5 MiB | dd249466569ea640f1387fd5eb8496b04d3d3c7545da6fa7f4133e39e63e3052 |
| r-cran-surveillance_1.7-0-1.debian.tar.xz | 4.5 KiB | b5c6f8605f3ef700f51825a1e7f78fb49f857d9b35354cf4b0e04c089a4ef835 |
Available diffs
- diff from 1.2-1-5 to 1.7-0-1 (1.2 MiB)
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.
