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Dirichlet

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

MCMC, Particle Filtering, and Programmable Hierarchical Modeling

v0.11.0
BSD_3_clause + file LICENSE | GPL (>= 2)
Authors
Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] (Bayesian nonparametrics system), Abel Rodrìguez [aut] (Bayesian nonparametrics system), Duncan Temple Lang [aut] (packaging configuration), Sally Paganin [aut] (reversible jump MCMC), Jagadish Babu [ctb] (code for the compilation system for an early version of NIMBLE), Lauren Ponisio [ctb] (contributions to the cross-validation code), Peter Sujan [ctb] (multivariate t distribution code)
Initial release
2021-04-16

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