Uniform: Create a Continuous Uniform distribution

In distributions3: Probability Distributions as S3 Objects

Create a Continuous Uniform distribution

Description

A distribution with constant density on an interval. The continuous analogue to the Categorical() distribution.

Usage

Uniform(a = 0, b = 1)

Arguments

a	The a parameter. a can be any value in the set of real numbers. Defaults to 0.
b	The a parameter. b can be any value in the set of real numbers. It should be strictly bigger than a, but if is not, the order of the parameters is inverted. Defaults to 1.

Value

A Uniform object.

See Also

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

Examples

set.seed(27)

X <- Uniform(1, 2)
X

random(X, 10)

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

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

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

distributions3 documentation built on Sept. 30, 2024, 9:37 a.m.