SampleSizeProportions: Calculating Sample Size Requirements when Estimating the Difference Between Two Binomial Proportions

Sample size requirements calculation 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. For reference see Joseph L., du Berger R. and Bélisle P. (1997) <doi:10.1002/(sici)1097-0258(19970415);2-v>.

Version: 1.1.3
Imports: stats
Published: 2023-08-23
Author: Lawrence Joseph [aut], Patrick Bélisle [aut, cre], Roxane du Berger [aut]
Maintainer: Patrick Bélisle <patrickb.stat at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SampleSizeProportions results


Reference manual: SampleSizeProportions.pdf


Package source: SampleSizeProportions_1.1.3.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): SampleSizeProportions_1.1.3.tgz, r-release (arm64): SampleSizeProportions_1.1.3.tgz, r-oldrel (arm64): SampleSizeProportions_1.1.3.tgz, r-prerel (x86_64): SampleSizeProportions_1.1.3.tgz, r-release (x86_64): SampleSizeProportions_1.1.3.tgz
Old sources: SampleSizeProportions archive


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