rsmart is an R package to plan and analyze sequential multiple assignment randomized trials (SMARTs)
install.packages("rsmart")Alternatively, to use a new feature or get a bug fix, you can install the development version of rsmart from GitHub:
# install.packages("remotes")
remotes::install_github("MSDLLCpapers/rsmart")The rsmart package is intended to provide a common package for analyzing SMARTs with normal, binary, and time-to-event endpoints.
The current build implements the inverse-probability weighted estimator, augmented IPWE and interim AIPWE of Wu, Wang, and Wahed, Zhang, Tsiatis, Laber and Davidian, and Manschot, Laber, and Davidian.
It provides a convenient structure to implement any of these estimators for continuous (asymptotically normal) endpoints.
If you're new to SMARTs and want to read a high-level overview of the key concepts involved, see our vignette titled "Getting Started with SMARTs."
If you want to see an example of how the rsmart package can be used to implement the inverse probability weighted estimator (IAIPWE) approach, see the vignette titled "Full demo of IAIPWE."
We anticipate future developments to include:
- Binary and TTE endpoints design features
- Hazard ratio estimation and global chi-square statistics for TTE endpoints
- Additional examples
If you are interested in contributing, suggest an issue or open a pull request for review.