ppseq: Design Clinical Trials using Sequential Predictive Probability Monitoring (original) (raw)
Functions are available to calibrate designs over a range of posterior and predictive thresholds, to plot the various design options, and to obtain the operating characteristics of optimal accuracy and optimal efficiency designs.
| Version: | 0.2.5 |
|---|---|
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, furrr, ggplot2, plotly, purrr, tibble, patchwork, tidyr |
| Suggests: | covr, gt, knitr, rmarkdown, testthat (≥ 3.0.0), vdiffr |
| Published: | 2024-09-04 |
| DOI: | 10.32614/CRAN.package.ppseq |
| Author: | Emily C. Zabor  [aut, cre], Brian P. Hobbs [aut], Michael J. Kane [aut] |
| Maintainer: | Emily C. Zabor |
| BugReports: | https://github.com/zabore/ppseq/issues |
| License: | MIT + file |
| URL: | https://github.com/zabore/ppseq, https://www.emilyzabor.com/ppseq/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | ppseq citation info |
| Materials: | README NEWS |
| CRAN checks: | ppseq results |
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