The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
GroupSeq computes probabilities related to group sequential designs for normally distributed test statistics. It enables to derive critical boundaries, power, drift, and confidence intervals of such designs, mostly using the alpha spending approach of DeMets and Lan (1994).
The main motivation for the development of this package was to make this area of statistics freely available for a broad audience, which is one of the reasons why all functionality is provided by a graphical user interface.
# Install release version from CRAN
install.packages("GroupSeq")
# Install development version from GitHub
devtools::install_github("rpahl/GroupSeq")
Load the library to start the graphical user interface.
To get started see the General Introduction page.
Since the package was written back in 2005, the graphical user interface may appear a bit outdated. Still, it does it’s job and at least has stood the test of time![^1](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;%5E1 “^1”). Luckily in recent years others have started to develop R-based tools with graphical user interface and similar (and more) statistical functionality:
DeMets, D. L., and K. K. Lan. 1994. “Interim analysis: the alpha spending function approach.” Stat Med 13 (13-14): 1341–52. https://doi.org/10.1002/sim.4780131308.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.