accrualPlot: Accrual Plots and Predictions for Clinical Trials

Tracking accrual in clinical trials is important for trial success. If accrual is too slow, the trial will take too long and be too expensive. If accrual is much faster than expected, time sensitive tasks such as the writing of statistical analysis plans might need to be rushed. 'accrualPlot' provides functions to aid the tracking of accrual and predict when a trial will reach it's intended sample size.

Version: 1.0.7
Depends: lubridate, R (≥ 2.10)
Imports: dplyr, ggplot2, grid, magrittr, purrr, rlang
Suggests: knitr, markdown, patchwork, rmarkdown, testthat, vdiffr
Published: 2022-08-16
DOI: 10.32614/CRAN.package.accrualPlot
Author: Lukas Bütikofer [cre, aut], Alan G. Haynes [aut]
Maintainer: Lukas Bütikofer <lukas.buetikofer at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
In views: ClinicalTrials
CRAN checks: accrualPlot results


Reference manual: accrualPlot.pdf
Vignettes: accrualPlot


Package source: accrualPlot_1.0.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): accrualPlot_1.0.7.tgz, r-oldrel (arm64): accrualPlot_1.0.7.tgz, r-release (x86_64): accrualPlot_1.0.7.tgz, r-oldrel (x86_64): accrualPlot_1.0.7.tgz
Old sources: accrualPlot archive


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