distributions3 (version 0.1.2)

pdf.Multinomial: Evaluate the probability mass function of a Multinomial distribution

Description

Please see the documentation of Multinomial() for some properties of the Multinomial distribution, as well as extensive examples showing to how calculate p-values and confidence intervals.

Usage

# S3 method for Multinomial
pdf(d, x, ...)
# S3 method for Multinomial
log_pdf(d, x, ...)

Arguments

d

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

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.

See Also

Other Multinomial distribution: random.Multinomial()

Examples

# NOT RUN {
set.seed(27)

X <- Multinomial(size = 5, p = c(0.3, 0.4, 0.2, 0.1))
X

random(X, 10)

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

# }