dincerti/cea: Health-Economic Simulation Modeling and Decision Analysis

Functionality for developing and analyzing the output of health-economic simulation models. Contains random sampling functions for conducting probabilistic sensitivity analyses (Claxton et al. 2005) <doi:10.1002/hec.985> and individual patient simulations (Brennan et al. 2006) <doi:10.1002/hec.1148>. Individualized cost-effectiveness analysis (Basu and Meltzer 2007, Ioannidis and Garber 2011) <doi:10.1177/0272989X06297393>, <doi:10.1371/journal.pmed.1001058> can be performed on simulation output and used to summarize a probabilistic sensitivity analysis at the subgroup or individual level. Core functions are written in C++ to facilitate computationally intensive modeling.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.0.9000
URL https://github.com/InnovationValueInitiative/hesim
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("dincerti/cea")
dincerti/cea documentation built on Dec. 8, 2018, 6:25 p.m.