giabaio/survHE: Survival Analysis in Health Economic Evaluation
Version 1.0.6

Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners).

Getting started

Package details

AuthorGianluca Baio
MaintainerGianluca Baio <[email protected]>
LicenseGPL (>=2)
Version1.0.6
URL https://github.com/giabaio/survHE http://www.statistica.it/gianluca
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("giabaio/survHE")
giabaio/survHE documentation built on July 18, 2017, 5:28 a.m.