Description Usage Arguments Details Value Author(s) Examples
Density function and random number generation for the Dirichlet distribution
1 | rdirichlet(n, alpha)
|
n |
number of random observations to draw |
alpha |
the Dirichlet distribution's parameters. Can be a vector (one set of parameters for all observations) or a matrix (a different set of parameters for each observation), see “Details” |
The Dirichlet distribution is a multidimensional generalization of the Beta distribution where each dimension is governed by an alpha-parameter. Formally this is
D(α)=[Γ(∑α)/∏Γ(α)]∏ y^(α-1)
Usually, alpha
is a vector thus the same parameters will be used for all observations.
If alpha
is a matrix, a complete set of alpha-parameters must be supplied for each observation.
returns a matrix with random numbers according to the supplied alpha vector or matrix.
Chong Wu
1 2 | X1 <- rdirichlet(100, c(5, 5, 10))
X1
|
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