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.

## Installation

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")

## Documentation

The package documentation is hosted here.

## Contributing

See the contributing guidelines.