A modular and computationally efficient R package for
parameterizing, simulating, and analyzing health economic simulation
models. The package supports cohort discrete time state transition models
(Briggs et al. 1998)
hesim
is an R package for health economic simulation modeling and decision analysis. The package can help facilitate computationally intensive simulation modeling and be used to analyze the output of simulation models. Current functionality includes:
To ensure that simulations can be run (and analyzed) in a reasonable amount of time, most functions are written in C++ using Rcpp
and data manipulations are performed using the data.table
package. hesim
is therefore well suited for IPS, PSA, and quantifying structural uncertainty.
hesim
can be installed from GitHub using devtools
:
install.packages("devtools")library(devtools)devtools::install_github("InnovationValueInitiative/hesim")
It can then be loaded into R
:
library(hesim)