BayesianPower: Sample Size and Power for Comparing Inequality Constrained Hypotheses

A collection of methods to determine the required sample size for the evaluation of inequality constrained hypotheses by means of a Bayes factor. Alternatively, for a given sample size, the unconditional error probabilities or the expected conditional error probabilities can be determined. Additional material on the methods in this package is available in Klaassen, F., Hoijtink, H. & Gu, X. (2019) <doi:10.31219/osf.io/d5kf3>.

Getting started

Package details

AuthorFayette Klaassen
MaintainerFayette Klaassen <klaassen.fayette@gmail.com>
LicenseLGPL-3
Version0.2.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesianPower")

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BayesianPower documentation built on July 1, 2020, 6:02 p.m.