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accrualPlot  

Accrual Plots and Predictions for Clinical Trials
View on CRAN: Click here


Download and install accrualPlot package within the R console
Install from CRAN:
install.packages("accrualPlot")

Install from Github:
library("remotes")
install_github("cran/accrualPlot")

Install by package version:
library("remotes")
install_version("accrualPlot", "1.0.7")



Attach the package and use:
library("accrualPlot")
Maintained by
Lukas Bütikofer
[Scholar Profile | Author Map]
First Published: 2022-05-09
Latest Update: 2022-08-16
Description:
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.
How to cite:
Lukas Bütikofer (2022). accrualPlot: Accrual Plots and Predictions for Clinical Trials. R package version 1.0.7, https://cran.r-project.org/web/packages/accrualPlot. Accessed 08 May. 2025.
Previous versions and publish date:
1.0.1 (2022-05-09 09:30)
Other packages that cited accrualPlot R package
View accrualPlot citation profile
Other R packages that accrualPlot depends, imports, suggests or enhances
Complete documentation for accrualPlot
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