rigamma: Random number generation for inverse gamma distribution
In bayesball/LearnBayes: Learning Bayesian Inference
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Simulates from a inverse gamma (a, b) distribution with density
proportional to $y^(-a-1) exp(-b/y)$
Usage
1
rigamma(n, a, b)
Arguments
n
number of random numbers to be generated
a
inverse gamma shape parameter
b
inverse gamma rate parameter
Value
vector of n simulated draws
Author(s)
Jim Albert
Examples
1
2
3
4
a=10
b=5
n=20
rigamma(n,a,b)
bayesball/LearnBayes documentation built on May 11, 2019, 9:21 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
Simulates from a inverse gamma (a, b) distribution with density proportional to $y^(-a-1) exp(-b/y)$
Usage
1 | rigamma(n, a, b)
|
Arguments
n |
number of random numbers to be generated |
a |
inverse gamma shape parameter |
b |
inverse gamma rate parameter |
Value
vector of n simulated draws
Author(s)
Jim Albert
Examples
1 2 3 4 | a=10
b=5
n=20
rigamma(n,a,b)
|
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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