Developed for practical use: below you find a collection of practical examples and use-cases, the so-called rpact vignettes.
In addition to these public open access vignettes, our RPACT SLA customers have access to exclusive vignettes on special topics such as the analysis of multi-stage data with covariates from raw data.
The R package rpact has been developed to design sequential and adaptive experiments. Many of the functions of the R package are available in an online…
This document describes how sample size and power calculations for count data can be performed using rpact. This is shown for the fixed sample and the group sequential case…
We demonstrate how rpact enables users to easily define new functions for calculating the number of subjects or events required, based on given conditional power and critical…
This document provides examples for simulating test characteristics for multi-stage enrichment designs for testing rates with rpact. Specifically, it is shown how to obtain the…
This document provides an example of implementing, simulating and analyzing multi-arm-multi-stage (MAMS) designs for testing rates with rpact with special regards to futility…
This document provides an example for planning a trial with a binary endpoint using rpact. It also illustrates the use of ggplot2 for illustrating…
This document provides examples for assessing trials with adaptive sample size re-calculation (SSR) using rpact. It also shows how to implement the promising zone approach as…
This document provides an example that illustrates how to compare sample size and power calculation results of the two different R packages rpact and…
This 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…
This 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…
This document provides examples that illustrate the usage of R generic functions (short: R generics) with rpact, e.g., as.data.frame() or summary().
This document explains how to perform the Installation Qualification for rpact and highlights the recent changes to the testing process.
