You can install from GitHub:
remotes::install_github("Merck/simtrial")simtrial is a small package built initially to focus on evaluating weighted logrank tests and combination tests based on such tests. The intent is to use tidyverse (data wrangling) programming procedures and to have a package that is easy to qualify for use in a regulated environment.
Initial areas of focus are:
- Generating time-to-event data for stratified trials using piecewise constant enrollment and piecewise exponential failure rates. Both proportional and non-proportional hazards are supported.
Under proportional hazards, the assumptions are along the lines of those used by Lachin and Foulkes as implemented in the
gsDesignfor deriving group sequential designs. - Setting up data cutoffs for (interim and final) analyses.
- Support for weighted logrank tests with arbitrary weighting schemes, specifically supporting the Fleming-Harrington set of tests, including the logrank test.
Expectations for future development include:
- Provide a test suite to document that the package is fit for use in a regulatory environment.
- Further examples.