A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate a normal mean or the difference between two normal means. Functions for calculation of required sample sizes for the Average Length Criterion, the Average Coverage Criterion and the Worst Outcome Criterion in the context of normal means are provided. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided.
|Author:||Lawrence Joseph and Patrick Belisle|
|Maintainer:||Lawrence Joseph <lawrence.joseph at mcgill.ca>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||SampleSizeMeans results|
|Windows binaries:||r-devel: SampleSizeMeans_1.1.zip, r-release: SampleSizeMeans_1.1.zip, r-oldrel: SampleSizeMeans_1.1.zip|
|OS X El Capitan binaries:||r-release: SampleSizeMeans_1.1.tgz|
|OS X Mavericks binaries:||r-oldrel: SampleSizeMeans_1.1.tgz|
|Old sources:||SampleSizeMeans archive|
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