Package: accuracy
Title: Tools for testing and improving accuracy of statistical results. 
Version: 1.23
VersionSplus: 1.23-2
Date: 2007-07-25
Author: Micah Altman, Jeff Gill, Michael P. McDonald
Description: 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.
Maintainer: Micah Altman <Micah_Altman@harvard.edu>
MaintainerSplus: Stephen Kaluzny <skaluzny@tibco.com>
Headshot: http://www.hmdc.harvard.edu/micah_altman/micah_altman.jpg
Suggests: Zelig
SuggestsSplus:
Imports: methods
ImportsSplus:
License: GPL 2.0
URL: http://www.r-project.org, http://www.hmdc.harvard.edu/micah_altman/numal/