rDir: Random generation for Dirichelt distribution
In bbricks: Bayesian Methods and Graphical Model Structures for Statistical Modeling
Description
Usage
Arguments
Value
See Also
Examples
View source: R/Categorical_Inference.r
Description
Generate random samples from Dirichlet distribution. For a random vector x, the density function is Dirichlet distribution is defined as:
1/Beta(alpha) prod_i=1:p x_i^alpha_i -1
Where Beta() is the beta function. p is the dimension of x.
Usage
1
rDir(n, alpha)
Arguments
n
integer, number of samples.
alpha
numeric, Dirichlet parameter.
Value
A numeric matrix of n rows and length(alpha) columns.
See Also
Examples
1
bbricks documentation built on July 8, 2020, 7:29 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/Categorical_Inference.r
Description
Generate random samples from Dirichlet distribution. For a random vector x, the density function is Dirichlet distribution is defined as: 1/Beta(alpha) prod_i=1:p x_i^alpha_i -1 Where Beta() is the beta function. p is the dimension of x.
Usage
1 | rDir(n, alpha)
|
Arguments
n |
integer, number of samples. |
alpha |
numeric, Dirichlet parameter. |
Value
A numeric matrix of n rows and length(alpha) columns.
See Also
Examples
1 |
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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