Package: ppRep 0.42.4
ppRep: Analysis of Replication Studies using Power Priors
Provides functionality for Bayesian analysis of replication studies using power prior approaches (Pawel et al., 2023) <doi:10.1007/s11749-023-00888-5>.
Authors:
ppRep_0.42.4.tar.gz
ppRep_0.42.4.zip(r-4.5)ppRep_0.42.4.zip(r-4.4)ppRep_0.42.4.zip(r-4.3)
ppRep_0.42.4.tgz(r-4.4-any)ppRep_0.42.4.tgz(r-4.3-any)
ppRep_0.42.4.tar.gz(r-4.5-noble)ppRep_0.42.4.tar.gz(r-4.4-noble)
ppRep_0.42.4.tgz(r-4.4-emscripten)ppRep_0.42.4.tgz(r-4.3-emscripten)
ppRep.pdf |ppRep.html✨
ppRep/json (API)
NEWS
# Install 'ppRep' in R: |
install.packages('ppRep', repos = c('https://samch93.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/samch93/pprep/issues
Last updated 11 months agofrom:270c904bd3. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
R-4.4-win | OK | Nov 06 2024 |
R-4.4-mac | OK | Nov 06 2024 |
R-4.3-win | OK | Nov 06 2024 |
R-4.3-mac | OK | Nov 06 2024 |
Exports:bfPPalphabfPPthetamargLikplotPPpostPPpostPPalphapostPPalphaHPDpostPPthetapostPPthetaHPD
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bayes factor for testing power parameter | bfPPalpha |
Bayes factor for testing effect size | bfPPtheta |
Marginal likelihood of replication effect estimate | margLik |
Plot joint and marginal posterior distributions | plotPP |
Posterior density of effect size and power parameter | postPP |
Marginal posterior distribution of power parameter | postPPalpha postPPalphaHPD |
Marginal posterior distribution of effect size | postPPtheta postPPthetaHPD |