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 the methodology/algorithm.
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 All submissions must contain original unpublished work not being considered for publication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 issues.
The special issue editors:
Peter Filzmoser, Vienna University of Technology, Austria.
Cristian Gatu, “Alexandru I. Cuza" University of Iasi, Romania.
Achim Zeileis, Universitat Innsbruck, Austria.