BayesPPD

Bayesian Power Prior Design

CRAN Package

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.


Documentation


Team


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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0 downloadsMar 16, 2025
0 downloadsMar 17, 2025
0 downloadsMar 18, 2025
8 downloadsMar 19, 2025
29 downloadsMar 20, 2025
15 downloadsMar 21, 2025
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5 downloadsMar 25, 2025
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29 downloadsMar 28, 2025
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15 downloadsApr 1, 2025
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10 downloadsApr 4, 2025
16 downloadsApr 5, 2025
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23 downloadsApr 7, 2025
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50 downloadsApr 12, 2025
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14 downloadsApr 16, 2025
10 downloadsApr 17, 2025
0 downloadsApr 18, 2025
0 downloadsApr 19, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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


Binaries


Dependencies

  • Imports1 package
  • Suggests5 packages
  • Linking To4 packages
  • Reverse Suggests1 package