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 ORCID iD [aut, cre], Brian P. Hobbs [aut], Michael J. Kane ORCID iD [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:

Reference manual: ppseq.pdf
Vignettes: One-sample expansion cohort

Downloads:

Package source: ppseq_0.1.1.tar.gz
Windows binaries: r-devel: ppseq_0.1.1.zip, r-release: ppseq_0.1.1.zip, r-oldrel: ppseq_0.1.1.zip
macOS binaries: r-release (arm64): ppseq_0.1.1.tgz, r-release (x86_64): ppseq_0.1.1.tgz, r-oldrel: ppseq_0.1.1.tgz

Linking:

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