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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.
Package Version Released
accuracy 1.35 4 years 44 weeks ago
accuracy 1.34 4 years 48 weeks ago
accuracy 1.33 5 years 2 days ago
accuracy 1.32
accuracy 1.29
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