Lognormal: The Lognormal Distribution

In eha: Event History Analysis

The Lognormal Distribution

Description

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

Usage

hlnorm(x, meanlog = 0, sdlog = 1, shape = 1 / sdlog, scale = exp(meanlog),
prop = 1, log = FALSE) 
Hlnorm(x, meanlog = 0, sdlog = 1, shape = 1 / sdlog, scale = exp(meanlog), 
prop = 1, log.p = FALSE)

Arguments

x	vector of quantiles.
meanlog	mean in the Normal distribution.
sdlog, shape	sdlog is standard deviation in the Normal distrimution, shape = 1/sdlog.
scale	is exp(meanlog).
prop	proportionality constant in the extended Lognormal distribution.
log, log.p	logical; if TRUE, probabilities p are given as log(p).

Details

The Lognormal 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

dlnorm gives the density, plnorm gives the distribution function, qlnorm gives the quantile function, hlnorm gives the hazard function, Hlnorm gives the cumulative hazard function, and rlnorm 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.