CSAN, the Comprehensive S-PLUS Archive Network, provides data analysis and statistical methods to the community of S-PLUS users. The methods are provided as self contained software packages that can be loaded into S-PLUS. The initial packages are S-PLUS specific. With recent work on making common functions and interfaces in S-PLUS and R, we intend this site to grow into a collection of open-source, cross-dialect-compatible packages over time.
Tools for testing and improving accuracy of statistical results.
Micah Altman, Jeff Gill, Michael P. McDonald
This is a suite of tools designed to test and improve the accuracy of statistical computation, including: Summarization of the sensitivity of linear and non-linear models (lm, glm, mle, nls) to measurement and numerical error; Sensitivity analysis of dozens of models as run through Zelig; A generalized cholesky method for correcting non-invertable Hessians; Tests for the global optimality of non-linear regression and maximum likelihood results; Tools for obtaining true random numbers using entropy collected from the system and/or entropy servers on the internet; A method for converting floating point numbers to normalized fractions; Benchmark data for checking the accuracy of basic distribution functions.
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