EV: The EV Distribution

In eha: Event History Analysis

The EV Distribution

Description

Density, distribution function, quantile function, hazard function, cumulative hazard function, and random generation for the EV distribution with parameters shape and scale.

Usage

dEV(x, shape = 1, scale = 1, log = FALSE) 
pEV(q, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE) 
qEV(p, shape = 1, scale = 1, lower.tail = TRUE, log.p = FALSE) 
hEV(x, shape = 1, scale = 1, log = FALSE) 
HEV(x, shape = 1, scale = 1, log.p = FALSE) 
rEV(n, shape = 1, scale = 1)

Arguments

shape, scale	shape and scale parameters, both defaulting to 1.
lower.tail	logical; if TRUE (default), probabilities are P(X \le x), otherwise, P(X > x).
x, q	vector of quantiles.
p	vector of probabilities.
n	number of observations. If length(n) > 1, the length is taken to be the number required.
log, log.p	logical; if TRUE, probabilities p are given as log(p).

Details

The EV distribution with scale parameter a and shape parameter \sigma has hazard function given by

h(x) = (b/\sigma)(x/\sigma)^(b-1)\exp((x / \sigma)^b)

for x \ge 0.

Value

dEV gives the density, pEV gives the distribution function, qEV gives the quantile function, hEV gives the hazard function, HEV gives the cumulative hazard function, and rEV generates random deviates.

Invalid arguments will result in return value NaN, with a warning.

eha documentation built on Oct. 7, 2024, 1:17 a.m.