Your message dated Wed, 06 Jul 2022 22:02:27 +0000
with message-id <e1o9d6j-00031c...@fasolo.debian.org>
and subject line Bug#1013987: fixed in r-cran-brglm2 0.8.2+dfsg-1
has caused the Debian Bug report #1013987,
regarding ITP: r-cran-brglm2 -- GNU R bias reduction in generalized linear
models
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.
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--
1013987: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1013987
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--- Begin Message ---
Package: wnpp
Severity: wishlist
Subject: ITP: r-cran-brglm2 -- GNU R bias reduction in generalized linear models
Package: wnpp
Owner: Andreas Tille <ti...@debian.org>
Severity: wishlist
* Package name : r-cran-brglm2
Version : 0.8.2
Upstream Author : Ioannis Kosmidis,
* URL : https://cran.r-project.org/package=brglm2
* License : GPL-3
Programming Lang: GNU R
Description : GNU R bias reduction in generalized linear models
Estimation and inference from generalized linear models based on various
methods for bias reduction and maximum penalized likelihood with powers
of the Jeffreys prior as penalty. The 'brglmFit' fitting method can
achieve reduction of estimation bias by solving either the mean bias-
reducing adjusted score equations in Firth (1993)
<doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009)
<doi:10.1093/biomet/asp055>, or the median bias-reduction adjusted score
equations in Kenne et al. (2017) <doi:10.1093/biomet/asx046>, or through
the direct subtraction of an estimate of the bias of the maximum
likelihood estimator from the maximum likelihood estimates as in
Cordeiro and McCullagh (1991) <https://www.jstor.org/stable/2345592>.
See Kosmidis et al (2020) <doi:10.1007/s11222-019-09860-6> for more
details. Estimation in all cases takes place via a quasi Fisher scoring
algorithm, and S3 methods for the construction of of confidence
intervals for the reduced-bias estimates are provided. In the special
case of generalized linear models for binomial and multinomial responses
(both ordinal and nominal), the adjusted score approaches to mean and
media bias reduction have been found to return estimates with improved
frequentist properties, that are also always finite, even in cases where
the maximum likelihood estimates are infinite (e.g. complete and quasi-
complete separation; see Kosmidis and Firth, 2020
<doi:10.1093/biomet/asaa052>, for a proof for mean bias reduction in
logistic regression).
Remark: This package is maintained by Debian R Packages Maintainers at
https://salsa.debian.org/r-pkg-team/r-cran-brglm2
--- End Message ---
--- Begin Message ---
Source: r-cran-brglm2
Source-Version: 0.8.2+dfsg-1
Done: Andreas Tille <ti...@debian.org>
We believe that the bug you reported is fixed in the latest version of
r-cran-brglm2, 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 1013...@bugs.debian.org,
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Andreas Tille <ti...@debian.org> (supplier of updated r-cran-brglm2 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 ftpmas...@ftp-master.debian.org)
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Hash: SHA256
Format: 1.8
Date: Tue, 28 Jun 2022 15:56:26 +0200
Source: r-cran-brglm2
Binary: r-cran-brglm2 r-cran-brglm2-dbgsym
Architecture: source amd64
Version: 0.8.2+dfsg-1
Distribution: unstable
Urgency: medium
Maintainer: Debian R Packages Maintainers <r-pkg-t...@alioth-lists.debian.net>
Changed-By: Andreas Tille <ti...@debian.org>
Description:
r-cran-brglm2 - GNU R bias reduction in generalized linear models
Closes: 1013987
Changes:
r-cran-brglm2 (0.8.2+dfsg-1) unstable; urgency=medium
.
* Initial release (closes: #1013987)
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