rgamma_mu: Simulation for a Gamma Distribution with mean parametrization

In ErickChacon/datasim: Data Simulation Based on Models Formulas

Description

Random generator for the Gamma distribution, using parameters mean and sigma. This is an alternative to rgamma function.

Usage

rgamma_mu(n, mu, sigma)

Arguments

n	Number of observations.
mu	Mean parameter of the Gamma distribution.
sigma	Scale parameter of the Gamma distribution.

Details

The Gamma distribution with parameters mean = mu and sigma = s is defined as

f(x) = (s/mu)^s /Gamma(s) x^(s-1) e^-(s*x/mu)

for x >= 0, mu > 0 and s > 0.

The mean and variance of this parametrization are E(x) = mu and Var(X) = mu^2/sigma

Value

A vector of length n, representing the realization of the Gamma distribution with parameters mean and sigma.

Author(s)

Erick A. Chacon-Montalvan

Examples

rgamma_mu(100, 5, 5)

ErickChacon/datasim documentation built on March 25, 2020, 7:53 p.m.