BayesPPD
Bayesian Power Prior Design
Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at doi:10.32614/RJ-2023-016. The Bayesian clinical trial design methodology is described in Chen et al. (2011) doi:10.1111/j.1541-0420.2011.01561.x, and Psioda and Ibrahim (2019) doi:10.1093/biostatistics/kxy009. The normalized power prior is described in Duan et al. (2006) doi:10.1002/env.752 and Ibrahim et al. (2015) doi:10.1002/sim.6728.
- Version1.1.2
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Chen et al. (2011)
- Psioda and Ibrahim (2019)
- Duan et al. (2006)
- Ibrahim et al. (2015)
- Last release11/25/2023
Documentation
Team
Yueqi Shen
Matthew A. Psioda
Show author detailsRolesAuthorJoseph G. Ibrahim
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 410 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 5,420 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Feb 12, 2025 with 59 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports1 package
- Suggests5 packages
- Linking To4 packages
- Reverse Suggests1 package