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
Author: Lukas Bütikofer [cre, aut], Alan G. Haynes [aut]
Maintainer: Lukas Bütikofer <lukas.buetikofer at ctu.unibe.ch>
BugReports: https://github.com/CTU-Bern/accrualPlot/issues
License: MIT + file LICENSE
URL: https://github.com/CTU-Bern/accrualPlot, https://ctu-bern.github.io/accrualPlot/
NeedsCompilation: no
Materials: NEWS
CRAN checks: accrualPlot results

Documentation:

Reference manual: accrualPlot.pdf
Vignettes: accrualPlot

Downloads:

Package source: accrualPlot_1.0.7.tar.gz
Windows binaries: r-devel: accrualPlot_1.0.7.zip, r-release: accrualPlot_1.0.1.zip, r-oldrel: accrualPlot_1.0.1.zip
macOS binaries: r-release (arm64): accrualPlot_1.0.7.tgz, r-oldrel (arm64): accrualPlot_1.0.7.tgz, r-release (x86_64): accrualPlot_1.0.1.tgz, r-oldrel (x86_64): accrualPlot_1.0.1.tgz
Old sources: accrualPlot archive

Linking:

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