Package: accuracy
Title: Tools for testing and improving accuracy of statistical results.
Version: 1.34
Date: 2009-11-24
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>
Headshot: http://www.hmdc.harvard.edu/micah_altman/micah_altman.jpg
BorkSummary: Thees ees e-a sueete-a of tools deseegned to-a test end
eemprove-a ze-a eccurecy of steteesteecel computeteeon
Suggests: Zelig
Imports: methods
License: AGPL-3 + file LICENSE
URL: http://www.r-project.org,
http://www.hmdc.harvard.edu/micah_altman/numal/
Packaged: 2009-11-24 17:54:35 UTC; micahaltman
Repository: CRAN
Date/Publication: 2009-11-25 08:29:34

Package: accuracy
Title: Tools for testing and improving accuracy of statistical results.
Version: 1.35
Date: 2009-12-25
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>
Headshot: http://www.hmdc.harvard.edu/micah_altman/micah_altman.jpg
BorkSummary: Thees ees e-a sueete-a of tools deseegned to-a test end
eemprove-a ze-a eccurecy of steteesteecel computeteeon
Suggests: Zelig
Imports: methods
License: AGPL-3 + file LICENSE
URL: http://www.r-project.org,
http://www.hmdc.harvard.edu/micah_altman/numal/
Packaged: 2009-12-26 22:24:54 UTC; micahaltman
Repository: CRAN
Date/Publication: 2009-12-28 10:52:56