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Categorical

The Categorical Distribution

Description

Density and random generation for the categorical distribution

Usage

dcat(x, prob, log = FALSE)

rcat(n = 1, prob)

Arguments

x

non-negative integer-value numeric value.
prob

vector of probabilities, internally normalized to sum to one.
log

logical; if TRUE, probability density is returned on the log scale.
n

number of observations.

Details

See the BUGS manual for mathematical details.

Value

dcat gives the density and rcat generates random deviates.

Author(s)

Christopher Paciorek

See Also

Distributions for other standard distributions

Examples

probs <- c(1/4, 1/10, 1 - 1/4 - 1/10)
x <- rcat(n = 30, probs)
dcat(x, probs)
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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