rdirichlet: Random generation for the Dirichlet distribution
In bmixture: Bayesian Estimation for Finite Mixture of Distributions
Description
Usage
Arguments
Details
Value
Author(s)
See Also
Examples
Description
Random generation from the Dirichlet distribution.
Usage
1
rdirichlet( n = 10, alpha = c( 1, 1 ) )
Arguments
n
number of observations.
alpha
vector of shape parameters.
Details
The Dirichlet distribution is the multidimensional generalization of the beta distribution.
Value
A matrix with n rows, each containing a single Dirichlet random deviate.
Author(s)
Reza Mohammadi a.mohammadi@uva.nl
See Also
Examples
1
2
3
draws = rdirichlet( n = 500, alpha = c( 1, 1, 1 ) )
boxplot( draws )
Example output
bmixture documentation built on May 11, 2021, 5:08 p.m.
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Description Usage Arguments Details Value Author(s) See Also Examples
Description
Random generation from the Dirichlet distribution.
Usage
1 | rdirichlet( n = 10, alpha = c( 1, 1 ) )
|
Arguments
n |
number of observations. |
alpha |
vector of shape parameters. |
Details
The Dirichlet distribution is the multidimensional generalization of the beta distribution.
Value
A matrix with n rows, each containing a single Dirichlet random deviate.
Author(s)
Reza Mohammadi a.mohammadi@uva.nl
See Also
Examples
1 2 3 | draws = rdirichlet( n = 500, alpha = c( 1, 1, 1 ) )
boxplot( draws )
|
Example output
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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