Tools for testing and improving accuracy of statistical results 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. Software Imports: methods Suggests: Zelig Micah Altman <Micah_Altman@harvard.edu> Micah Altman, Jeff Gill, Michael P. McDonald AGPL-3 + file LICENSE (http://CRAN.R-project.org/package=accuracy/LICENSE) 2009-12-28 application/tgz http://CRAN.R-project.org/package=accuracy