distributions3 (version 0.1.2)

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

Description

Evaluate the probability mass function of a Beta distribution

Usage

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

Arguments

d

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

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

# NOT RUN {
set.seed(27)

X <- Beta(1, 2)
X

random(X, 10)

pdf(X, 0.7)
log_pdf(X, 0.7)

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

mean(X)
variance(X)
skewness(X)
kurtosis(X)

cdf(X, quantile(X, 0.7))
quantile(X, cdf(X, 0.7))
# }