rlambar: Random generation for the functional mean of the Dirichlet...

In eliardocosta/ssdet: Sample size determination in frequentist and Bayesian approaches

Description

Random generation for the functional mean of the Dirichlet process with a gamma distribution as the $F_0$ base distribution.

Usage

rlambar(N, alpha, lam0, theta0, ncore, eps = 0.1)

Arguments

N	Number of observations.
alpha	Shape parameter of the Dirichlet process.
lam0	A positive real number representing a hyperparameter of the $F_0$ base distribution.
theta0	A positive real number representing a hyperparameter of the $F_0$ base distribution. We consider $F_0$ as the gamma distribution with mean $lam_0$ and shape parameter $theta_0$.
ncore	Number of cores to use in parallel computin. If NULL the function uses 1 core if there is only one core, if there is more than one cores uses one half of the cores.
eps	Tolerance limit used in the simulation algorithm.

Value

A random sample of the functional mean of the Dirichlet process.

eliardocosta/ssdet documentation built on Dec. 14, 2021, 6:27 a.m.