ppseq: Design Clinical Trials using Sequential Predictive Probability
Monitoring
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: |
0.1.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, furrr, future, ggplot2, plotly, purrr, tibble, patchwork, tidyr |
| Suggests: |
covr, gt, knitr, rmarkdown, spelling, testthat (≥ 3.0.0), vdiffr |
| Published: |
2021-09-09 |
| Author: |
Emily C. Zabor 
[aut, cre],
Brian P. Hobbs [aut],
Michael J. Kane
[aut] |
| Maintainer: |
Emily C. Zabor <zabore2 at ccf.org> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
ppseq results |
Documentation:
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