Started in 1989 as an email service, StatLib is evolving into a powerful Internet tool. Hosted by Carnegie Mellon University and maintained by Pantelis Vlachos, a research scientist in Carnegie Mellon's Department of Statistics, StatLib contains freely available software and data sets for statisticians. The majority of both the software and data sets are affiliated with a published papers or books. For example, one dataset is described asA collection of the data sets used in the book Analyzing Categorical Data, by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003.
To fully understand the context and/or development of the resources, articles can be obtained from the library or Interlibrary Loan. Software is divided mainly by method, such as MATLAB extensions, multivariate archive, and more.
In addition, the site provides access to the Data and Story Library (DASL). Searchable by topics and statistical method used, DASL offers stories that are linked to data files.
Stories are abstracts that discuss the statistical concepts of a particular datafile. (from DASL)
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