Lomax: Lomax distribution

Description Usage Arguments Details Examples

Description

Density, distribution function, quantile function and random generation for the Lomax distribution.

Usage

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dlomax(x, lambda, kappa, log = FALSE)

plomax(q, lambda, kappa, lower.tail = TRUE, log.p = FALSE)

qlomax(p, lambda, kappa, lower.tail = TRUE, log.p = FALSE)

rlomax(n, lambda, kappa)

Arguments

x, q

vector of quantiles.

lambda, kappa

positive valued parameters.

log, log.p

logical; if TRUE, probabilities p are given as log(p).

lower.tail

logical; if TRUE (default), probabilities are P[X ≤ x] otherwise, P[X > x].

p

vector of probabilities.

n

number of observations. If length(n) > 1, the length is taken to be the number required.

Details

Probability density function

f(x) = λ*κ / (1+λ*x)^(κ+1)

Cumulative distribution function

F(x) = 1-(1+λ*x)^-κ

Quantile function

F^-1(p) = ((1-p)^(-1/κ)-1) / λ

Examples

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x <- rlomax(1e5, 5, 16)
hist(x, 100, freq = FALSE)
curve(dlomax(x, 5, 16), 0, 1, col = "red", add = TRUE, n = 5000)
hist(plomax(x, 5, 16))
plot(ecdf(x))
curve(plomax(x, 5, 16), 0, 1, col = "red", lwd = 2, add = TRUE)

extraDistr documentation built on Sept. 7, 2020, 5:09 p.m.

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