Package: BayesianPower 0.2.3
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>.
Authors:
BayesianPower_0.2.3.tar.gz
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BayesianPower.pdf |BayesianPower.html✨
BayesianPower/json (API)
NEWS
| # Install 'BayesianPower' in R: |
| install.packages('BayesianPower', repos = c('https://fayetteklaassen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fayetteklaassen/bayesianpower/issues
Last updated 5 years agofrom:13d2f1711b. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 06 2025 |
| R-4.5-win | OK | Mar 06 2025 |
| R-4.5-mac | OK | Mar 06 2025 |
| R-4.5-linux | OK | Mar 06 2025 |
| R-4.4-win | OK | Mar 06 2025 |
| R-4.4-mac | OK | Mar 06 2025 |
| R-4.4-linux | OK | Mar 06 2025 |
| R-4.3-win | OK | Mar 06 2025 |
| R-4.3-mac | OK | Mar 06 2025 |
Exports:bayes_powerbayes_sampsize
Dependencies:
