test.rms: Computing the root-mean-square test statistic
In rms.gof: Root-mean-square goodness-of-fit test for simple null hypothesis
Description
Usage
Arguments
Details
Author(s)
References
See Also
Description
Calculates the root-mean-square test statistic between the observed data and fully-specified model distribution.
Usage
1
test.rms(observed, expected)
Arguments
observed
The observed data
expected
The expected data
Details
Called on by rms.pval().
Author(s)
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 Usage Arguments Details Author(s) References See Also
Description
Calculates the root-mean-square test statistic between the observed data and fully-specified model distribution.
Usage
1 | test.rms(observed, expected)
|
Arguments
observed |
The observed data |
expected |
The expected data |
Details
Called on by rms.pval().
Author(s)
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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