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Bug#1001094: marked as done (ITP: r-cran-riskregression -- GNU R Risk Regression Models and Prediction Scores for Survival)



Your message dated Tue, 28 Dec 2021 17:00:11 +0000
with message-id <E1n2Fpb-000Fhu-8e@fasolo.debian.org>
and subject line Bug#1001094: fixed in r-cran-riskregression 2021.10.10+ds-1
has caused the Debian Bug report #1001094,
regarding ITP: r-cran-riskregression -- GNU R Risk Regression Models and Prediction Scores for Survival
to be marked as done.

This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.

(NB: If you are a system administrator and have no idea what this
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-- 
1001094: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1001094
Debian Bug Tracking System
Contact owner@bugs.debian.org with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist

Subject: ITP: r-cran-riskregression -- GNU R Risk Regression Models and Prediction Scores for Survival
Package: wnpp
Owner: Andreas Tille <tille@debian.org>
Severity: wishlist

* Package name    : r-cran-riskregression
  Version         : 2021.10.10
  Upstream Author : Thomas Alexander Gerds,
* URL             : https://cran.r-project.org/package=riskRegression
* License         : GPL-2+
  Programming Lang: GNU R
  Description     : GNU R Risk Regression Models and Prediction Scores for Survival
 Analysis with Competing Risks Implementation of the following methods
 for event history analysis. Risk regression models for survival
 endpoints also in the presence of competing risks are fitted using
 binomial regression based on a time sequence of binary event status
 variables. A formula interface for the Fine-Gray regression model and an
 interface for the combination of cause-specific Cox regression models. A
 toolbox for assessing and comparing performance of risk predictions
 (risk markers and risk prediction models). Prediction performance is
 measured by the Brier score and the area under the ROC curve for binary
 possibly time-dependent outcome. Inverse probability of censoring
 weighting and pseudo values are used to deal with right censored data.
 Lists of risk markers and lists of risk models are assessed
 simultaneously. Cross-validation repeatedly splits the data, trains the
 risk prediction models on one part of each split and then summarizes and
 compares the performance across splits.

Remark: This package is maintained by Debian R Packages Maintainers at
   https://salsa.debian.org/r-pkg-team/r-cran-riskregression

--- End Message ---
--- Begin Message ---
Source: r-cran-riskregression
Source-Version: 2021.10.10+ds-1
Done: Andreas Tille <tille@debian.org>

We believe that the bug you reported is fixed in the latest version of
r-cran-riskregression, which is due to be installed in the Debian FTP archive.

A summary of the changes between this version and the previous one is
attached.

Thank you for reporting the bug, which will now be closed.  If you
have further comments please address them to 1001094@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.

Debian distribution maintenance software
pp.
Andreas Tille <tille@debian.org> (supplier of updated r-cran-riskregression package)

(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing ftpmaster@ftp-master.debian.org)


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Hash: SHA512

Format: 1.8
Date: Sat, 04 Dec 2021 10:43:42 +0100
Source: r-cran-riskregression
Binary: r-cran-riskregression r-cran-riskregression-dbgsym
Architecture: source amd64
Version: 2021.10.10+ds-1
Distribution: unstable
Urgency: medium
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Changed-By: Andreas Tille <tille@debian.org>
Description:
 r-cran-riskregression - GNU R Risk Regression Models and Prediction Scores for Survival
Closes: 1001094
Changes:
 r-cran-riskregression (2021.10.10+ds-1) unstable; urgency=medium
 .
   [ Nilesh Patra, Andreas Tille ]
   * Initial release (closes: #1001094)
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--- End Message ---

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