rDirichlet: Simulates from the Dirichlet distribution.
In StatisticsSU/bayeslearn: Bayesian Learning - a course package.
View source: R/distributions.R
rDirichlet R Documentation
Simulates from the Dirichlet distribution.
Description
Simulates from the Dirichlet distribution.
Usage
rDirichlet(n, alpha)
Arguments
n
number of draws
alpha
vector with hyperparameters
Value
n-by-p matrix where each row is a draw.
Examples
library(bayeslearn)
draws = rDirichlet(n = 1000, alpha = c(3,5,10))
colMeans(draws) # Close to theoretical c(3,5,10)/18 = 0.167 0.278 0.556
StatisticsSU/bayeslearn documentation built on Feb. 2, 2023, 8:41 a.m.
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View source: R/distributions.R
| rDirichlet | R Documentation |
Simulates from the Dirichlet distribution.
Description
Simulates from the Dirichlet distribution.
Usage
rDirichlet(n, alpha)
Arguments
n |
number of draws |
alpha |
vector with hyperparameters |
Value
n-by-p matrix where each row is a draw.
Examples
library(bayeslearn) draws = rDirichlet(n = 1000, alpha = c(3,5,10)) colMeans(draws) # Close to theoretical c(3,5,10)/18 = 0.167 0.278 0.556
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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