moments: Expectation and variance.
In PoweR: Computation of Power and Level Tables for Hypothesis Tests
Description
Details
Author(s)
References
Description
Evaluate the expectation and variance of a law.
Details
Use the function by typing:
momentsj(x,par1,par2,etc.)
where j is the index of the law and par1, par2, etc. are the
parameters of law j.
Author(s)
P. Lafaye de Micheaux, V. A. Tran
References
Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A
Reproducible Research Tool to Ease Monte Carlo Power Simulation
Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03
PoweR documentation built on May 2, 2019, 2:09 p.m.
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Description Details Author(s) References
Description
Evaluate the expectation and variance of a law.
Details
Use the function by typing:
momentsj(x,par1,par2,etc.)
where j is the index of the law and par1, par2, etc. are the
parameters of law j.
Author(s)
P. Lafaye de Micheaux, V. A. Tran
References
Pierre Lafaye de Micheaux, Viet Anh Tran (2016). PoweR: A Reproducible Research Tool to Ease Monte Carlo Power Simulation Studies for Studies for Goodness-of-fit Tests in R. Journal of Statistical Software, 69(3), 1–42. doi:10.18637/jss.v069.i03
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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