dirichlet: Dirichlet distribution
In LaMa: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
dirichlet R Documentation
Dirichlet distribution
Description
Density of the Dirichlet distribution.
Usage
ddirichlet(x, alpha, log = TRUE)
Arguments
x
vector or matrix of quantiles
alpha
vector or matrix of shape parameters
log
logical; if TRUE, densities p are returned as \log(p).
Details
This implementation of ddirichlet allows for automatic differentiation with RTMB.
Value
ddirichlet gives the density.
Examples
ddirichlet(c(0.2, 0.3, 0.5), c(1, 2, 3))
LaMa documentation built on Nov. 5, 2025, 6:42 p.m.
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| dirichlet | R Documentation |
Dirichlet distribution
Description
Density of the Dirichlet distribution.
Usage
ddirichlet(x, alpha, log = TRUE)
Arguments
x |
vector or matrix of quantiles |
alpha |
vector or matrix of shape parameters |
log |
logical; if |
Details
This implementation of ddirichlet allows for automatic differentiation with RTMB.
Value
ddirichlet gives the density.
Examples
ddirichlet(c(0.2, 0.3, 0.5), c(1, 2, 3))
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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