bss.ci.PoiDP: Bayesian sample size using ACC or ALC criterion for the...

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

Description

Bayesian sample size using ACC or ALC criterion for the Poisson/Dirichlet process model

Usage

bss.ci.PoiDP(crit, lam0, theta0, w, rho, alpha, len = NULL,
  len.max = NULL, eps = NULL, cgrid = 0.01, R = 100, n0 = 2,
  inc = c(100, 10, 5))

Arguments

crit	A characther string specifying the criterion. Criteria: "ACC" and "ALC".
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 $theta_0$.
w	A positive real number representing the aliquot volume.
rho	A number in (0, 1). The probability of the credible interval is equal or greater than $1-rho$ depending on the criterion used.
alpha	Shape parameter of the Dirichlet process.
len	A positive real number representing the length of the credible intervals in the ACC criterion.
len.max	A positive real number representing the maximum length of the credible intervals in the ALC criterion.
eps	...
cgrid	Length of the grid used in the points for which the probability is computed.
R	Number of replicates used in the simulation. Default is 100.
n0	A positive integer representing the initial sample size in which the function will check the criterion. Default is 1.
inc	...

Value

An integer representing the sample size.

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