cgf: Cumulant Generating Function.
In alexandernel14/MGF: Moment and Cumulant Generating Functions and their Derivatives.
Description
Usage
Arguments
Value
Examples
Description
cgf returns the cumulant generating function of the specified distribution
the derivatives of the cgf correspond to the centralized moments of the distribution centered about the mean.
Usage
1
Arguments
distribution
One of the following distributions as a string: "Bernoulli", "Binomial", "Geometric", "Negative Binomial", "Poisson", "Exponential", "Gamma", "Normal", "Chi-Square".
Value
The Cumulant Generating Function of the specified distribution.
Examples
1
2
3
alexandernel14/MGF documentation built on Aug. 30, 2020, 2:11 a.m.
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Description Usage Arguments Value Examples
Description
cgf returns the cumulant generating function of the specified distribution the derivatives of the cgf correspond to the centralized moments of the distribution centered about the mean.
Usage
1 |
Arguments
distribution |
One of the following distributions as a string: "Bernoulli", "Binomial", "Geometric", "Negative Binomial", "Poisson", "Exponential", "Gamma", "Normal", "Chi-Square". |
Value
The Cumulant Generating Function of the specified distribution.
Examples
1 2 3 |
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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