FisherF: Create an F distribution

In alexpghayes/distributions: Probability Distributions as S3 Objects

Create an F distribution

Description

Create an F distribution

Usage

FisherF(df1, df2, lambda = 0)

Arguments

df1	Numerator degrees of freedom. Can be any positive number.
df2	Denominator degrees of freedom. Can be any positive number.
lambda	Non-centrality parameter. Can be any positive number. Defaults to 0.

Details

We recommend reading this documentation on https://alexpghayes.github.io/distributions3/, where the math will render with additional detail.

TODO

Value

A FisherF object.

See Also

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

Examples

set.seed(27)

X <- FisherF(5, 10, 0.2)
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))

alexpghayes/distributions documentation built on Sept. 23, 2024, 4:49 p.m.