[r-cran-brglm] 04/07: cme fix dpkg-control

[Andreas Tille]

This is an automated email from the git hooks/post-receive script.

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

commit ac5808a6bccaa62330014a714dce6abbe28b3b2d
Author: Andreas Tille <tille at debian.org>
Date:   Fri Sep 8 13:05:47 2017 +0200

    cme fix dpkg-control
---
 debian/changelog |  1 +
 debian/control   | 17 +++++++++++------
 2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/debian/changelog b/debian/changelog
index 37320c8..a28fac8 100644
--- a/debian/changelog
+++ b/debian/changelog
@@ -3,6 +3,7 @@ r-cran-brglm (0.6.1-1) UNRELEASED; urgency=medium
   * Team upload.
   * New upstream version
   * debhelper 10
+  * cme fix dpkg-control
 
  -- Andreas Tille <tille at debian.org>  Fri, 08 Sep 2017 12:58:58 +0200
 
diff --git a/debian/control b/debian/control
index bcba63b..95e97f7 100644
--- a/debian/control
+++ b/debian/control
@@ -3,16 +3,21 @@ Maintainer: Debian Science Maintainers <debian-science-maintainers at lists.alioth.
 Uploaders: Balint Reczey <balint at balintreczey.hu>
 Section: gnu-r
 Priority: optional
-Build-Depends: r-base-dev, r-cran-profilemodel, debhelper (>= 10), cdbs
-Standards-Version: 3.9.6
-Vcs-Browser: http://anonscm.debian.org/gitweb/?p=debian-science/packages/r-cran-brglm.git
-Vcs-Git: git://anonscm.debian.org/debian-science/packages/r-cran-brglm.git
+Build-Depends: r-base-dev,
+               r-cran-profilemodel,
+               debhelper (>= 10),
+               cdbs
+Standards-Version: 4.1.0
+Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/r-cran-brglm.git
+Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/r-cran-brglm.git
 Homepage: http://www.ucl.ac.uk/~ucakiko/index.html
 
 Package: r-cran-brglm
 Architecture: any
-Depends: r-base-core, r-cran-profilemodel, ${R:Depends},
- ${shlibs:Depends}
+Depends: r-base-core,
+         r-cran-profilemodel,
+         ${R:Depends},
+         ${shlibs:Depends}
 Description: GNU R package for bias reduction in binomial-response GLMs
  Fit generalized linear models with binomial responses using either an
  adjusted-score approach to bias reduction or maximum penalized

-- 
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