The R package oncomsm implements methods to dynamically predict response and progression of individuals in early oncology trials using parametric multi-state models and Bayesian inference. This allows the dynamic computation of "probability of success" for a wide range of success (or "go") criteria. For instance, the bhmbasket R package can be used to define study success based on Bayesian hierarchical models.
The development version can be installed from this repository.
install.packages("oncomsm")
The development version can be installed from this repository.
# install.packages("remotes")
remotes::install_github("https://github.com/Boehringer-Ingelheim/oncomsm")
The package documentation is hosted here.
See the contributing guidelines.