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ppseq: Design Clinical Trials using Sequential Predictive ProbabilityMonitoring

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. ZaborORCID iD [aut, cre], Brian P. Hobbs [aut], Michael J. KaneORCID iD [aut]
Maintainer:Emily C. Zabor <zabore2 at ccf.org>
BugReports:https://github.com/zabore/ppseq/issues
License:MIT + fileLICENSE
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.html ,ppseq.pdf
Vignettes:One-sample expansion cohort (source,R code)
Two-sample randomized trial (source,R code)

Downloads:

Package source: ppseq_0.2.5.tar.gz
Windows binaries: r-devel:ppseq_0.2.5.zip, r-release:ppseq_0.2.5.zip, r-oldrel:ppseq_0.2.5.zip
macOS binaries: r-release (arm64):ppseq_0.2.5.tgz, r-oldrel (arm64):ppseq_0.2.5.tgz, r-release (x86_64):ppseq_0.2.5.tgz, r-oldrel (x86_64):ppseq_0.2.5.tgz
Old sources: ppseq archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ppseqto link to this page.


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