CvM.poisson: EDF statistics W^2 for Poisson Distribution
In LiYao-sfu/EDFtest: Goodness of Fit Based on Empirical Distribution Function
Description
Usage
Arguments
Value
Examples
Description
Compute Cramer-von Mises statistic W^2 for an iid sample, x, to test for the Poisson distribution with parameters unknown.
Estimate parameters by ML using "estimate.poisson" by default.
Usage
1
CvM.poisson(x, eps = 10^(-9))
Arguments
x
random sample
eps
how much prob you are willing to omit
Value
CvM.poisson gives Cramer-von Mises statistic of a uniform sample.
Examples
1
2
x= rpois(100,2)
CvM.poisson(x)
LiYao-sfu/EDFtest documentation built on Dec. 18, 2021, 4:35 a.m.
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Description Usage Arguments Value Examples
Description
Compute Cramer-von Mises statistic W^2 for an iid sample, x, to test for the Poisson distribution with parameters unknown. Estimate parameters by ML using "estimate.poisson" by default.
Usage
1 | CvM.poisson(x, eps = 10^(-9))
|
Arguments
x |
random sample |
eps |
how much prob you are willing to omit |
Value
CvM.poisson gives Cramer-von Mises statistic of a uniform sample.
Examples
1 2 | x= rpois(100,2)
CvM.poisson(x)
|
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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