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:	0.2.4
Depends:	R (≥ 3.5.0)
Imports:	dplyr, furrr, ggplot2, plotly, purrr, tibble, patchwork, tidyr
Suggests:	covr, gt, knitr, rmarkdown, spelling, testthat (≥ 3.0.0), vdiffr
Published:	2024-04-04
Author:	Emily C. Zabor [aut, cre], Brian P. Hobbs [aut], Michael J. Kane [aut]
Maintainer:	Emily C. Zabor <zabore2 at ccf.org>
BugReports:	https://github.com/zabore/ppseq/issues
License:	MIT + file LICENSE
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

Documentation:

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

Downloads:

Package source:	ppseq_0.2.4.tar.gz
Windows binaries:	r-prerel: ppseq_0.2.4.zip, r-release: ppseq_0.2.4.zip, r-oldrel: ppseq_0.2.4.zip
macOS binaries:	r-prerel (arm64): ppseq_0.2.4.tgz, r-release (arm64): ppseq_0.2.4.tgz, r-oldrel (arm64): ppseq_0.2.4.tgz, r-prerel (x86_64): ppseq_0.2.4.tgz, r-release (x86_64): ppseq_0.2.4.tgz
Old sources:	ppseq archive

Linking:

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