Project develops an open-source toolkit for statistical analysis, indicating broad usability.
The present project aims to develop an open-source and object-oriented software Toolkit for statistical data analysis. Its statistical testing component contains a variety of Goodness-of-Fittests, from Chi-squared to Kolmogorov-Smirnov, tolessknown, but generally much more powerful tests such a sAnderson-Darling, Goodman, Fisz-Cramer-vonMises, Kuiper, Tiku. Thanks to the component-based design and the usage of the standard abstract interfaces for data analysis, this tool can be used by other data analysis systems or integrated in experimental software frameworks. This Toolkit has been released and is downloadable from the web. In this paper we describe the statistical details of the algorithms, the computational features of the Toolkit and describe the code validation.
No takes yet. Share an insight, caveat, or question.
Stefania et al. (2004) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: