[med-svn] [r-cran-surveillance] 01/01: Remove link to non-existent manual.pdf

[Andreas Tille]

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tille pushed a commit to branch master
in repository r-cran-surveillance.

commit d039359e2df0041ae89f3c2ced48f9cbae946f52
Author: Andreas Tille <tille at debian.org>
Date:   Mon Nov 13 12:12:38 2017 +0100

    Remove link to non-existent manual.pdf
---
 debian/changelog |  7 +++++++
 debian/doc-base  | 20 --------------------
 debian/links     |  1 -
 3 files changed, 7 insertions(+), 21 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index beaa1e0..665765f 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -1,3 +1,10 @@
+r-cran-surveillance (1.15.0-2) UNRELEASED; urgency=medium
+
+  * Remove link to non-existent manual.pdf (thanks for the hint to
+    Sebastian Meyer <seb.meyer at fau.de>)
+
+ -- Andreas Tille <tille at debian.org>  Mon, 13 Nov 2017 12:11:55 +0100
+
 r-cran-surveillance (1.15.0-1) unstable; urgency=medium
 
   * New upstream version
diff --git a/debian/doc-base b/debian/doc-base
deleted file mode 100644
index efdf1d7..0000000
--- a/debian/doc-base
+++ /dev/null
@@ -1,20 +0,0 @@
-Document: surveillance
-Title: Modeling and monitoring discrete response time series
-Author: M. Höhle with contributions from T. Correa, M. Hofmann, C. Lang, M. Paul, A. Riebler, S. Steiner and V. Wimmer
-Abstract: A package implementing statistical methods for the modeling and change-point detection
- in time series of counts, proportions and categorical data. Focus is on outbreak detection in count
- data time series originating from public health surveillance of infectious diseases, but
- applications could just as well originate from environmetrics, reliability engineering,
- econometrics or social sciences. Currently the package contains implementations typical
- outbreak detection procedures such as Stroup et. al (1989), Farrington et al, (1996), Rossi et al.
- (1999), Rogerson and Yamada (2001), a Bayesian approach, negative binomial CUSUM
- methods and a detector based on generalized likelihood ratios. Furthermore, inference methods
- for the retrospective infectious disease model in Held et al. (2005), Held et al. (2006) and Paul et
- al. (2008) are provided. A novel CUSUM approach combining logistic and multinomial logistic
- modelling is also included. The package contains several real-world datasets, the ability to
- simulate outbreak data, visualize the results of the monitoring in temporal, spatial or
- spatio-temporal fashion.
-Section: Science/Biology
-
-Format: pdf
-Files: /usr/share/doc/r-cran-surveillance/manual.pdf
diff --git a/debian/links b/debian/links
deleted file mode 100644
index 73d6126..0000000
--- a/debian/links
+++ /dev/null
@@ -1 +0,0 @@
-usr/lib/R/site-library/surveillance/doc	usr/share/doc/r-cran-surveillance/manual.pdf

-- 
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