Dirichlet: The Dirichlet Distribution

In nimble: MCMC, Particle Filtering, and Programmable Hierarchical Modeling

The Dirichlet Distribution

Description

Density and random generation for the Dirichlet distribution

Usage

ddirch(x, alpha, log = FALSE)

rdirch(n = 1, alpha)

Arguments

x	vector of values.
alpha	vector of parameters of same length as x
log	logical; if TRUE, probability density is returned on the log scale.
n	number of observations (only n=1 is handled currently).

Details

See Gelman et al., Appendix A or the BUGS manual for mathematical details.

Value

ddirch gives the density and rdirch generates random deviates.

Author(s)

Christopher Paciorek

References

Gelman, A., Carlin, J.B., Stern, H.S., and Rubin, D.B. (2004) Bayesian Data Analysis, 2nd ed. Chapman and Hall/CRC.

See Also

Distributions for other standard distributions

Examples

alpha <- c(1, 10, 30)
x <- rdirch(1, alpha)
ddirch(x, alpha)

nimble documentation built on July 9, 2023, 5:24 p.m.