Computes probabilities related to group sequential designs for
normally distributed test statistics. Enables to derive critical
boundaries, power, drift, and confidence intervals of such designs.
Supports the alpha spending approach by Lan-DeMets (1994)

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.
library("GroupSeq")
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may appear a bit outdated.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 itβs job and at least has
stood the test of
time.
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. βInterim analysis: the alpha spending function approach.β Stat Med 13 (13-14): 1341β52. https://doi.org/10.1002/sim.4780131308.