SampleSizeMeans-package: Bayesian sample sizes calculations based on highest posterior...

Description Details Author(s) References See Also


Sample size determination based on highest posterior density intervals for normal means and difference between normal means using three different Bayesian approaches


Package: SampleSizeMeans
Type: Package
Version: 1.1
Date: 2012-12-10
License: GLP (version 2 or later)

A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate normal means or the difference between two normal means. Criteria include the Average Length Criterion, the Average Coverage Criterion and the Modified Worst Outcome Criterion. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided.

See the related package SampleSizeProportions for Bayesian sample size determination for the difference between two binomial proportions


Lawrence Joseph and Patrick Belisle
Maintainer: Lawrence Joseph [email protected]


Joseph L, Belisle P.
Bayesian sample size determination for Normal means and differences between Normal means
The Statistician 1997;46(2):209-226.

See Also

mu.acc, mu.alc, mu.modwoc, mu.varknown, mu.mblacc, mu.mblalc, mu.mblmodwoc, mu.mbl.varknown, mu.freq, mudiff.acc, mudiff.alc, mudiff.modwoc, mudiff.acc.equalvar, mudiff.alc.equalvar, mudiff.modwoc.equalvar, mudiff.varknown, mudiff.mblacc, mudiff.mblalc, mudiff.mblmodwoc, mudiff.mblacc.equalvar, mudiff.mblalc.equalvar, mudiff.mblmodwoc.equalvar, mudiff.mbl.varknown, mudiff.freq

SampleSizeMeans documentation built on May 29, 2017, 9:32 a.m.