Abstract
There are several fundamental problems with statistical software development in the academic community. In addition, the development and dissemination of academic software will become increasingly difficult due to a variety of reasons. To solve these problems, a new framework for statistical software development, maintenance, and publishing is proposed: it is based on the paradigm that academic and commercial software should be both cost-effectively created, maintained and published with Marketing Principles in mind. The framework has been seamlessly integrated into a highly successful website (http://www.wessa.net) that operates as a provider of free web-based statistical software. Finally it is explained how the R framework provides a platform for the development of a true compendium publishing system.
Similar content being viewed by others
References
Constantinides E (2002) The 4S Web-Marketing Mix model. Electron Commer Res Appl (1):57–76
Borghers E, Wessa P (2005) The Xycoon Project, Research Paper 2005023. Faculty of Applied Economics, University of Antwerp, 41p
Edwards K (2005). An economic perspective on software licenses—open source, maintainers and user-developers. Telemat Inf 22: 111–133
Johnson JP (2001) Economics of open source software. http://opensource.mit.edu/papers/johnsonopensource.pdf, downloaded 23 January 2007
Lucy D, Aykroyd RG and Pollard AM (2002). Non-parametric calibration for age estimation. Appl Stat 51(2): 183–196
Osterwalder A (2004) The business model ontology: a proposition in a design science approach. PhD dissertation, Ecole des Hautes Etudes Commerciales de l’Université de Lausanne, Switzerland
R Development Core Team (2006) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org/
Rubinstein H (2002) All about electronic scientific publication, nobel symposium (NS 120). In: Virtual museums and public understanding of science and culture, May 26–29, Stockholm, Sweden
Thomson Scientific (2005) ISI essential science indicators. Average citation rates for papers published by field, 1994–2004, In: Mathematics. http://in-cites.com/analysis/04-fifth-math. html#Highly%20Cited%20Papers, downloaded 25 November 2005, 09:41 PM
Välimäki M and Ville O (2005). The impact of free and open source licensing on operating system software markets. Telemat Inf 22: 97–110
Wessa (2007) Bivariate kernel density estimation (v1.0.5). In: Free statistics software (v1.1.22-r1), Office for Research Development and Education. http://www.wessa.net/rwasp_bidensity.wasp/
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wessa, P. A framework for statistical software development, maintenance, and publishing within an open-access business model. Comput Stat 24, 183–193 (2009). https://doi.org/10.1007/s00180-008-0107-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00180-008-0107-y