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>.
https://anaconda.org/r/r-bayesianpower/badges/version.svg
https://anaconda.org/r/r-bayesianpower/badges/latest_release_date.svg
https://anaconda.org/r/r-bayesianpower/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-bayesianpower/badges/platforms.svg
https://anaconda.org/r/r-bayesianpower/badges/license.svg
https://anaconda.org/r/r-bayesianpower/badges/downloads.svg