Multinomial: The Multinomial Distribution

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

The Multinomial Distribution

Description

Density and random generation for the multinomial distribution

Usage

dmulti(x, size = sum(x), prob, log = FALSE)

rmulti(n = 1, size, prob)

Arguments

x	vector of values.
size	number of trials.
prob	vector of probabilities, internally normalized to sum to one, 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

dmulti gives the density and rmulti 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

size <- 30
probs <- c(1/4, 1/10, 1 - 1/4 - 1/10)
x <- rmulti(1, size, probs)
dmulti(x, size, probs)

nimble documentation built on June 22, 2024, 9:49 a.m.