rinvGamma: Generate random numbers from the inverse gamma distribution
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Value
Author(s)
Description
Generate random numbers from the inverse gamma
distribution
Usage
1
rinvGamma(n, a, b)
Arguments
n
number of observations. If length(n) > 1,
the length is taken to be the number required
a
shape parameter
b
rate parameter
Value
the random variates
Author(s)
Daniel Sabanes Bove
daniel.sabanesbove@ifspm.uzh.ch
hypergsplines documentation built on May 2, 2019, 6:14 p.m.
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.
Description Usage Arguments Value Author(s)
Description
Generate random numbers from the inverse gamma distribution
Usage
1 | rinvGamma(n, a, b)
|
Arguments
n |
number of observations. If |
a |
shape parameter |
b |
rate parameter |
Value
the random variates
Author(s)
Daniel Sabanes Bove daniel.sabanesbove@ifspm.uzh.ch
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.