In the last few months we implemented lots of new rpact package features, e.g.,
- Power calculation at given or adapted sample size for means, rates and survival data
- Sample size and power calculation for survival trials with piecewise accrual time and intensity
- Sample size and power calculation for survival trials with exponential survival time, piecewise exponential survival time and survival times that follow a Weibull distribution
- Simulation of the sample size for survival trials; our simulator is very fast because it was implemented with C++
In parallel we worked on a Shiny app (https://shiny.rstudio.com) that builds a powerful graphical user interface for the rpact package running in the "Cloud", i.e., the user can execute rpact directly in his favorite browser without installing R and the rpact package localy.
Because the new rpact package version will have so many new features and enhancements we decided to make a version 2.0 (and not a version 1.1). The plan is to start the release of rpact 2.0 on CRAN (https://cran.r-project.org) at the beginning of June 2019. Our last experience with CRAN has shown that it may take a few weeks until the new package version is available for everyone.
Expected at end of June 2019 we will held our annual one-day rpact package training meeting for you (remember: it's free-of-charge for up to two participants of your company). We will send you a separate invitation with details soon.
At the moment, we are working on the extension of rpact for handling multiple hypotheses which can be used in multi-armed and population enrichment designs. We expect to have a beta version available at Q3/2019.