SampleSizeProportions: Calculating sample size requirements when estimating the difference between two binomial proportions
Version 1.0

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.

Package details

AuthorLawrence Joseph <lawrence.joseph@mcgill.ca>, Roxane du Berger and Patrick Belisle <pbelisle@epimgh.mcgill.ca>
Date of publication2009-12-17 17:17:13
MaintainerLawrence Joseph <lawrence.joseph@mcgill.ca>
LicenseGPL (>= 2)
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SampleSizeProportions")

Try the SampleSizeProportions package in your browser

Any scripts or data that you put into this service are public.

SampleSizeProportions documentation built on May 29, 2017, 11:04 p.m.