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pdf.Poisson

Evaluate the probability mass function of a Poisson distribution


Description

Evaluate the probability mass function of a Poisson distribution

Usage

## S3 method for class 'Poisson'
pdf(d, x, ...)

## S3 method for class 'Poisson'
log_pdf(d, x, ...)

Arguments

d

A Poisson object created by a call to Poisson().

x

A vector of elements whose probabilities you would like to determine given the distribution d.

...

Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors.

Value

A vector of probabilities, one for each element of x.

Examples

set.seed(27)

X <- Poisson(2)
X

random(X, 10)

pdf(X, 2)
log_pdf(X, 2)

cdf(X, 4)
quantile(X, 0.7)

cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 7))

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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