SampleSizeMeans-package {SampleSizeMeans}

Bayesian Sample Sizes Calculations Based on Highest Posterior Density Intervals for Normal Means and Differences between Normal Means

Description

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

Details

Package:	SampleSizeMeans
Type:	Package
Version:	1.2.3
Date:	2023-08-22
License:	GLP (version 2 or later)
URL:	http://www.medicine.mcgill.ca/epidemiology/Joseph/Methodological-Publications-Bayesian-Sample-Size.html

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
https://CRAN.R-project.org/package=SampleSizeProportions

Author(s)

Lawrence Joseph and Patrick Bélisle
Maintainer: Patrick Bélisle [e-mail]

References

Joseph L, Bélisle 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