Package: BayesRepDesign 0.42.2
BayesRepDesign: Bayesian Design of Replication Studies
Provides functionality for determining the sample size of replication studies using Bayesian design approaches in the normal-normal hierarchical model (Pawel et al., 2023) <doi:10.1037/met0000604>.
Authors:
BayesRepDesign_0.42.2.tar.gz
BayesRepDesign_0.42.2.zip(r-4.5)BayesRepDesign_0.42.2.zip(r-4.4)BayesRepDesign_0.42.2.zip(r-4.3)
BayesRepDesign_0.42.2.tgz(r-4.4-any)BayesRepDesign_0.42.2.tgz(r-4.3-any)
BayesRepDesign_0.42.2.tar.gz(r-4.5-noble)BayesRepDesign_0.42.2.tar.gz(r-4.4-noble)
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BayesRepDesign.pdf |BayesRepDesign.html✨
BayesRepDesign/json (API)
NEWS
| # Install 'BayesRepDesign' in R: |
| install.packages('BayesRepDesign', repos = c('https://samch93.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/samch93/bayesrepdesign/issues
Last updated 1 years agofrom:2077db1971. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:designPriorporsporsBF01porsBFrporsBFsporsEquporsMetaporsPsporsSigporsTOSTse2nssdssdBF01ssdBFrssdBFsssdEqussdMetassdPsssdSigssdTOSTsuccessRegionsuccessRegionSig
Dependencies:lamWRcppRcppParallel
