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.
| Version: | 1.31 |
| Imports: | methods |
| Suggests: | Zelig |
| Date: | 2008-11-16 |
| Author: | Micah Altman, Jeff Gill, Michael P. McDonald |
| Maintainer: | Micah Altman <Micah_Altman at harvard.edu> |
| License: | AGPL (>3.0), with attribution as per LICENSE file |
| URL: | http://www.r-project.org, http://www.hmdc.harvard.edu/micah_altman/numal/ |
| CRAN checks: | accuracy results |
Downloads:
| Package source: | accuracy_1.31.tar.gz |
| MacOS X binary: | accuracy_1.31.tgz |
| Windows binary: | accuracy_1.31.zip |
| Reference manual: | accuracy.pdf |
| Vignettes: |
accuracy |
| News/ChangeLog: | ChangeLog |
| Old sources: | accuracy archive |