Vignettes

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

This R Markdown document provides a brief introduction to group sequential designs with delayed responses as proposed by Hampson and Jennison (2013). It is shown how this is implemented in rpact. Examples for designing trials with delayed responses using the software are provided. We also describe an alternative approach that directly uses the α-spending approach to derive the decision boundaries.

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 examples for simulating multi-arm multi-stage (MAMS) designs for testing means with rpact.

This R Markdown document provides examples for assessing trials with adaptive sample size re-calculation (SSR) using rpact. It also shows how to implement the promizing zone approach as proposed by Mehta and Pocock 2011 and further developed by Hsiao et al 2019 with 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 an example for analysing trials with a continuous endpoint and sample size reassessment using rpact.

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

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.

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.