Vignettes

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.

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 shows how to analyse and interpret multi-arm designs for testing proportions with rpact.

This R Markdown document provides an example that illustrates how to compare sample size and power calculation results of the two different R packages rpact and gsDesign.

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 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 binary endpoints using 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 survival endpoints using rpact.

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

This R Markdown document provides many different examples for creating one- and multi-arm analysis result plots with rpact and ggplot2.

This R Markdown document provides many different examples for creating one- and multi-arm simulation result plots with rpact and ggplot2.

This R Markdown document provides many different examples that illustrate the usage of the R generic function summary with rpact. This is a technical vignette and is to be considered mainly as a comprehensive overview of the possible summaries in rpact.