dist_inverse_gaussian: The Inverse Gaussian distribution
In distributional: Vectorised Probability Distributions
View source: R/dist_inverse_gaussian.R
dist_inverse_gaussian R Documentation
The Inverse Gaussian distribution
Description
![[Stable]](../help/figures/lifecycle-stable.svg)
Usage
dist_inverse_gaussian(mean, shape)
Arguments
mean, shape
parameters. Must be strictly positive. Infinite
values are supported.
See Also
actuar::InverseGaussian
Examples
dist <- dist_inverse_gaussian(mean = c(1,1,1,3,3), shape = c(0.2, 1, 3, 0.2, 1))
dist
mean(dist)
variance(dist)
support(dist)
generate(dist, 10)
density(dist, 2)
density(dist, 2, log = TRUE)
cdf(dist, 4)
quantile(dist, 0.7)
distributional documentation built on March 31, 2023, 7:12 p.m.
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View source: R/dist_inverse_gaussian.R
| dist_inverse_gaussian | R Documentation |
The Inverse Gaussian distribution
Description
Usage
dist_inverse_gaussian(mean, shape)
Arguments
mean, shape |
parameters. Must be strictly positive. Infinite values are supported. |
See Also
actuar::InverseGaussian
Examples
dist <- dist_inverse_gaussian(mean = c(1,1,1,3,3), shape = c(0.2, 1, 3, 0.2, 1))
dist
mean(dist)
variance(dist)
support(dist)
generate(dist, 10)
density(dist, 2)
density(dist, 2, log = TRUE)
cdf(dist, 4)
quantile(dist, 0.7)
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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