A set of R functions for calculating sample size requirements using three different Bayesian criteria in the context of designing an experiment to estimate the difference between two binomial proportions. 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 binomial observations are provided. In all cases, estimation of the difference between two binomial proportions is considered. Functions for both the fully Bayesian and the mixed Bayesian/likelihood approaches are provided.
| Version: | 1.0 |
| Published: | 2009-12-17 |
| Author: | Lawrence Joseph, Roxane du Berger and Patrick Belisle |
| Maintainer: | Lawrence Joseph <lawrence.joseph at mcgill.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | Bayesian |
| CRAN checks: | SampleSizeProportions results |
| Reference manual: | SampleSizeProportions.pdf |
| Package source: | SampleSizeProportions_1.0.tar.gz |
| Windows binaries: | r-devel: SampleSizeProportions_1.0.zip, r-release: SampleSizeProportions_1.0.zip, r-oldrel: SampleSizeProportions_1.0.zip |
| macOS binaries: | r-release: SampleSizeProportions_1.0.tgz, r-oldrel: SampleSizeProportions_1.0.tgz |
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