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.


Reference manual

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install.packages("accrualPlot")

1.0.10 by Lukas Bütikofer, 7 months ago


https://github.com/dcr-unibe-ch/accrualPlot, https://dcr-unibe-ch.github.io/accrualPlot/


Report a bug at https://github.com/dcr-unibe-ch/accrualPlot/issues


Browse source code at https://github.com/cran/accrualPlot


Authors: Lukas Bütikofer [cre, aut] , Alan G. Haynes [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, ggplot2, grid, magrittr, purrr, rlang

Depends on lubridate

Suggests knitr, markdown, patchwork, rmarkdown, testthat, vdiffr


See at CRAN