BayesianPower: Sample Size and Power for Comparing Inequality Constrained Hypotheses

F. Klaassen

Research output: Non-textual formSoftwareAcademic

Abstract

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>.
Original languageEnglish
Publication statusPublished - 31 May 2019

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