martinlaw/SCsinglearm: Finds Stochastically Curtailed Design Realisations for Single-arm Binary Outcome Trials

SCsinglearm is a package that finds design realisations for single-arm binary outcome trials, using stochastic or non-stochastic curtailment. Monitoring frequency can be controlled, either in terms of number of participants per stage or maximum number of stages. The package shows stopping boundaries in terms of a diagram and also a vector of upper and a vector of lower boundaries. Stochastic curtailment can be allowed for stopping for a no go decision (futility) only, a go decision (efficacy) only, neither (i.e. non-stochastic curtailment) or both. The user can require that design realisations include an explicit Simon-type interim analysis. However, this is approximately one order of magnitude slower and the package does not currently contain a function that draws diagrams for these realisations.

Getting started

Package details

Maintainer
License`use_mit_license()`, `use_gpl3_license()` or friends to pick a license
Version0.0.0.9001
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("martinlaw/SCsinglearm")
martinlaw/SCsinglearm documentation built on Feb. 19, 2021, 8:05 p.m.