distributions3 (version 0.2.1)

Beta: Create a Beta distribution

Description

Create a Beta distribution

Usage

Beta(alpha = 1, beta = 1)

Value

A beta object.

Arguments

alpha

The alpha parameter. alpha can be any value strictly greater than zero. Defaults to 1.

beta

The beta parameter. beta can be any value strictly greater than zero. Defaults to 1.

See Also

Other continuous distributions: Cauchy(), ChiSquare(), Erlang(), Exponential(), FisherF(), Frechet(), GEV(), GP(), Gamma(), Gumbel(), LogNormal(), Logistic(), Normal(), RevWeibull(), StudentsT(), Tukey(), Uniform(), Weibull()

Examples

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))