[R-SIG-Finance] CSDA Special Issue on STATISTICAL ALGORITHMS AND SOFTWARE IN R (fwd)
ezivot at u.washington.edu
Thu Mar 22 17:59:52 CET 2012
CSDA is a good outlet for some of the finance related development in R.
---------- Forwarded message ----------
Date: Thu, 22 Mar 2012 14:14:36 +0200
From: Cristian Gatu <cristian.gatu at UNINE.CH>
To: ECONOMETRIC-RESEARCH at JISCMAIL.AC.UK
Subject: CSDA Special Issue on STATISTICAL ALGORITHMS AND SOFTWARE IN R
COMPUTATIONAL STATISTICS & DATA ANALYSIS
CALL FOR PAPERS
Special Issue on STATISTICAL ALGORITHMS AND SOFTWARE IN R
The R system for statistical computing and graphics can be considered
the most important statistical software package, being increasingly
used as a programing environment. R's capabilities for contributed
extension packages make it easy to deploy new R code to the
community. This special issue is devoted to statistical algorithms and
software in R. Methodological contributions combined with sound R
implementations are strongly encouraged. The paper as well as the R
software will be reviewed. R code should be clearly documented and
typically be prepared in form of an extension package available
through one of the standard repositories (such as CRAN or
Bioconductor). Replication scripts for all examples from the paper
need to be provided, demonstrating the usefulness of the R code and
All topics related to computational statistics are of interest. The
papers should have a methodological component and should provide a
solid R implementation in order to be considered for
publication. Authors who are uncertain about the suitability of their
papers should contact the special issue editors. All submissions must
contain original unpublished work not being considered for publication
Submissions will be refereed according to standard procedures for
Computational Statistics & Data Analysis. Information about the
journal can be found at http://www.elsevier.com/locate/csda.
The deadline for submissions is 30th June 2012. However, papers can
be submitted at any time; and, when they have been received, they will
enter the editorial system immediately.
Papers for the special issue should be submitted using the Elsevier
Electronic Submission tool EES: http://ees.elsevier.com/csda. In the
EES please choose the special issue on "Statistical Algorithms
and Software in R" and the Co-Editor responsible for the special
The special issue editors:
Peter Filzmoser, Vienna University of Technology, Austria.
E-mail: P.Filzmoser at tuwien.ac.at
Cristian Gatu, "Alexandru I. Cuza" University of Iasi, Romania.
E-mail: cgatu at info.uaic.ro
Achim Zeileis, Universitat Innsbruck, Austria.
Achim.Zeileis at R-project.org
More information about the R-SIG-Finance