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Bayesian multi-state models for early oncology

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.