sample_multinomial: A speedy sampling from a multimomial distribution
In clintpgeorge/clda: Approximate Inference Algorithms for the Compound Latent Dirichlet Allocation Model
Description
Usage
Arguments
Value
Note
See Also
Description
A speedy sampling from a multimomial distribution
Usage
1
sample_multinomial(theta)
Arguments
theta
a multinomial probability vector (K x 1 vector)
Value
returns a class index from [0, K)
Note
Author: Clint P. George
Created on: February 11, 2016
See Also
Other utils: H, JSD.matrix,
JSD, KLD,
sample_antoniak,
sample_dirichlet
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
A speedy sampling from a multimomial distribution
Usage
1 | sample_multinomial(theta)
|
Arguments
theta |
a multinomial probability vector (K x 1 vector) |
Value
returns a class index from [0, K)
Note
Author: Clint P. George
Created on: February 11, 2016
See Also
Other utils: H, JSD.matrix,
JSD, KLD,
sample_antoniak,
sample_dirichlet
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.