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accrualPlot (version 1.0.7)

Accrual Plots and Predictions for Clinical Trials

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.

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Install

install.packages('accrualPlot')

Monthly Downloads

270

Version

1.0.7

License

MIT + file LICENSE

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Maintainer

Lukas B<c3><bc>tikofer

Last Published

August 16th, 2022

Functions in accrualPlot (1.0.7)

accrual_create_df

accrual_create_df
as.data.frame.accrual_list

as.data.frame method for accural_list objects
accrual_table

accrual_table
accrual_plot_cum

Cumulative accrual plots
accrual_predict

accrual_predict
accrualdemo

Demonstration data set
accrual_plot_predict

Accrual prediction plots
accrual_linear_model

accrual_linear_model
accrual_plot_abs

Absolute accrual plots
summary.accrual_df

Summary method for accrual_dfs (as created by accrual_create_df)
print.accrual_df

Print methods for accrual objects
plot.accrual_df

Plot method for accrual data frames produced by accrual_create_df
accrual_time_unit

accrual_time_unit