Vignettes

This R Markdown document provides example code for the the definition of the most commonly used group-sequential boundaries in rpact.

This R Markdown document provides examples for designing trials with continuous endpoints using rpact.

This R Markdown document provides examples for designing trials with binary endpoints using rpact.

This R Markdown document provides examples for designing trials with survival endpoints using rpact.

This R Markdown document describes how to simulate design characterics for survival design under complex settings (incl. non-proportional hazards) in rpact.

This R Markdown document provides an example for updating the group sequential boundaries when using an alpha-spending function approach based on observed information rates in rpact. Since version 3.1 of rpact, an additional option in the getAnalysisResults() function provides an easy way to perform an analysis with critical values that are calculated subsequently during the stages of the trial.

This R Markdown document provides examples how to analyse a survival trial and provide inference throughout and at the end of the trial with rpact.

This R Markdown document provides a technical view on the different alternatives to define accrual time and accrual intensity with rpact.

This R Markdown document provides many different examples that illustrate the usage of so-called R generic functions (short: R generics) with rpact, e.g., as.data.frame or summary.

This R Markdown document provides many different examples for creating plots with rpact and ggplot2, e.g. the plot argument type will be illustrated.