rweibull2: Weibull distribution

In kuperov/acfunc: Extra distributions for Bayesian analysis

Description

Density, distribution function, quantile function, and random generation for the weibull distribution. This is different from the standard R weibull distribution, differing in its parameterization.

Usage

rweibull2(n, alpha, gamma)

dweibull2(x, alpha, gamma)

qweibull2(q, alpha, gamma)

pweibull2(q, alpha, gamma)

Arguments

n	number of variates to draw
alpha	alpha parameter
gamma	gamma parameter
x	vector of quantiles
q	vector of quantiles

Details

The density of a weibull-distributed variable X ~ W(alpha, beta) is f(t) = gamma * alpha * t^(alpha-1) * exp(-gamma * t^alpha)

kuperov/acfunc documentation built on May 6, 2019, 10:50 p.m.