rdirichletgpu: rdirichletgpu
In yuanli22/RCUDA: GPU Enabled BLAS, LAPACK, Statistical Functions and Random Number Generators
Description
Usage
Arguments
Value
See Also
Examples
View source: R/random_number_genertor.R
Description
This function generates Dirichlet distributed random numbers
by using self-defined CUDA function based on George Marsaglia
and Wai Wan Tsang's method and gamma/Dirichlet relationship
Usage
1
rdirichletgpu(n, alpha, seed = 1)
Arguments
n
number of random numbers
alpha
concentration parameters of Dirichlet distribution;
seed
random number generator seed; default value 1
Value
generated random numbers vector, a list consisting of
ptr: GPU pointer
m: number of rows
n: number of columns
See Also
Examples
1
a_gpu <- rdirichletgpu(100, 2, 1)
yuanli22/RCUDA documentation built on May 4, 2019, 6:35 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/random_number_genertor.R
Description
This function generates Dirichlet distributed random numbers by using self-defined CUDA function based on George Marsaglia and Wai Wan Tsang's method and gamma/Dirichlet relationship
Usage
1 | rdirichletgpu(n, alpha, seed = 1)
|
Arguments
n |
number of random numbers |
alpha |
concentration parameters of Dirichlet distribution; |
seed |
random number generator seed; default value 1 |
Value
generated random numbers vector, a list consisting of
ptr: GPU pointer
m: number of rows
n: number of columns
See Also
Examples
1 | a_gpu <- rdirichletgpu(100, 2, 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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