rms.gof-package: Root-mean-square goodness-of-fit test for simple null...
In rms.gof: Root-mean-square goodness-of-fit test for simple null hypothesis
Description
Details
Author(s)
References
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Description
This package can be used to test any simple null hypothesis using the root-mean-square goodness of fit test. Monte Carlo estimation is used to calculate the associated P-value.
Details
Package: rms.gof
Type: Package
Version: 1.0
Date: 2013-01-15
License: GPL-3
To use this package, the model must be a completely specified discrete probability distribution. The function rms.pval() returns the P-value.
Author(s)
Shubhodeep Mukherji <deep.mukherji@utexas.edu>
Maintainer: Shubhodeep Mukherji <deep.mukherji@utexas.edu>
References
"Chi-square and classical exact tests often wildly misreport significance; the remedy lies in computers," by Will Perkins, Mark Tygert, and Rachel Ward.
See Also
rms.gof documentation built on May 2, 2019, 6:50 a.m.
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Description Details Author(s) References See Also
Description
This package can be used to test any simple null hypothesis using the root-mean-square goodness of fit test. Monte Carlo estimation is used to calculate the associated P-value.
Details
| Package: | rms.gof |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2013-01-15 |
| License: | GPL-3 |
To use this package, the model must be a completely specified discrete probability distribution. The function rms.pval() returns the P-value.
Author(s)
Shubhodeep Mukherji <deep.mukherji@utexas.edu>
Maintainer: Shubhodeep Mukherji <deep.mukherji@utexas.edu>
References
"Chi-square and classical exact tests often wildly misreport significance; the remedy lies in computers," by Will Perkins, Mark Tygert, and Rachel Ward.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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