rlambar.xn: Random generation for the posterior functional mean of the...

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

Description

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

Usage

rlambar.xn(N, alpha, x, w, lam0, theta0, ncore)

Arguments

N	Number of observations.
alpha	Shape parameter of the Dirichlet process.
x	Observed counts of the Poisson distribution of the model.
w	A positive real number representing the aliquot volume.
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.

Value

A random sample of the posterior functional mean of the Poisson/Dirichlet process.

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