descem is a user-friendly package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis. The package supports a flexible, practical approach to discrete event simulation while keeping an acceptable performance through the use of parallel computing.
The current version supports:
It is recommended that the user checks the vignettes, first the simple Sick-Sicker-Dead model Sick-Sicker-Dead model and then the more complex model for early breast cancer. The markov example shows how to run a cohort Markov model while using the same modeling framework. Similarly, a simulation based Markov model could be run. Structural and parametric uncertainty are explored in the corresponding vignette. The IPD vignette shows how descem can be used when individual patient data is available.
Have a look at the package home site for more details on documentation and specific tutorials.
For more details on the code, check our Github repository.
descem can the be installed directly from this repo via
# install.packages("devtools") devtools::install_github("roche/descem", ref="main")