sample_dirichlet: Samples from a Dirichlet distribution given a hyperparameter
In clintpgeorge/clda: Approximate Inference Algorithms for the Compound Latent Dirichlet Allocation Model
Description
Usage
Arguments
Value
Note
See Also
Description
Samples from a Dirichlet distribution given a hyperparameter
Usage
1
sample_dirichlet(num_elements, alpha)
Arguments
num_elements
the dimention of the Dirichlet distribution
alpha
the hyperparameter vector (a column vector)
Value
returns a Dirichlet sample (a column vector)
Note
Author: Clint P. George
Created on: 2014
See Also
Other utils: H, JSD.matrix,
JSD, KLD,
sample_antoniak,
sample_multinomial
clintpgeorge/clda documentation built on May 13, 2019, 8 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 Note See Also
Description
Samples from a Dirichlet distribution given a hyperparameter
Usage
1 | sample_dirichlet(num_elements, alpha)
|
Arguments
num_elements |
the dimention of the Dirichlet distribution |
alpha |
the hyperparameter vector (a column vector) |
Value
returns a Dirichlet sample (a column vector)
Note
Author: Clint P. George
Created on: 2014
See Also
Other utils: H, JSD.matrix,
JSD, KLD,
sample_antoniak,
sample_multinomial
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.