Inverse-Gaussian: Inverse Gaussian Distribution
In scModels: Fitting Discrete Distribution Models to Count Data
Inverse Gaussian R Documentation
Inverse Gaussian Distribution
Description
random generation function for the inverse Gaussian distribution:
Mu and lambda are the parameters of this distribution.
Usage
rInvGaus(n, mu, lambda)
Arguments
n
Number of observations
mu, lambda
Non-negative parameters of the inverse Gaussian distribution (mean and shape)
Examples
RV <- rInvGaus(n = 100, mu = 10, lambda = 2)
scModels documentation built on Feb. 16, 2023, 6:12 p.m.
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| Inverse Gaussian | R Documentation |
Inverse Gaussian Distribution
Description
random generation function for the inverse Gaussian distribution: Mu and lambda are the parameters of this distribution.
Usage
rInvGaus(n, mu, lambda)
Arguments
n |
Number of observations |
mu, lambda |
Non-negative parameters of the inverse Gaussian distribution (mean and shape) |
Examples
RV <- rInvGaus(n = 100, mu = 10, lambda = 2)
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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