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.

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 arguments type and showSource will be illustrated.

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.

The aim of this R Markdown document is to give a brief description on how easy it is to supplement and enhance plots generated in rpact by use of the ggplot2 package and associated language.

This R Markdown document provides an example for analysing trials with a continuous endpoint and sample size reassessment using rpact.