Vignettes

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

This R Markdown document provides an example for planning a trial with a binary endpoint using rpact. It also illustrates the use of ggplot2 for illustrating the characteristics of a sample size recalculation strategy. Another example for planning a trial with binary endpoints can be found in the vignette Designing group sequential trials with a binary endpoint with rpact.

This R Markdown document provides examples for designing trials with survival endpoints using 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 an example for planning a trial with a survival endpoint using rpact thereby illustrating the different ways of entering recruitment schemes. It also demonstrates the use of the survival simulation function.

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 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 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 one- and multi-arm analysis result plots with rpact and ggplot2.