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Categorical

Create a Categorical distribution


Description

Create a Categorical distribution

Usage

Categorical(outcomes, p = NULL)

Arguments

outcomes

A vector specifying the elements in the sample space. Can be numeric, factor, character, or logical.

p

A vector of success probabilities for each outcome. Each element of p can be any positive value – the vector gets normalized internally. Defaults to NULL, in which case the distribution is assumed to be uniform.

Value

A Categorical object.

See Also

Examples

set.seed(27)

X <- Categorical(1:3, p = c(0.4, 0.1, 0.5))
X

Y <- Categorical(LETTERS[1:4])
Y

random(X, 10)
random(Y, 10)

pdf(X, 1)
log_pdf(X, 1)

cdf(X, 1)
quantile(X, 0.5)
## Not run: 
# cdfs are only defined for numeric sample spaces. this errors!
cdf(Y, "a")

# same for quantiles. this also errors!
quantile(Y, 0.7)

## End(Not run)

distributions3

Probability Distributions as S3 Objects

v0.1.1
MIT + file LICENSE
Authors
Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Ralph Moller-Trane [aut], Emil Hvitfeldt [ctb] (<https://orcid.org/0000-0002-0679-1945>), Daniel Jordan [ctb], Bruna Wundervald [ctb]
Initial release

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