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survHE  

Survival Analysis in Health Economic Evaluation
View on CRAN: Click here


Download and install survHE package within the R console
Install from CRAN:
install.packages("survHE")

Install from Github:
library("remotes")
install_github("cran/survHE")

Install by package version:
library("remotes")
install_version("survHE", "2.0.2")



Attach the package and use:
library("survHE")
Maintained by
Gianluca Baio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-30
Latest Update: 2023-03-19
Description:
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). To run the Bayesian models, the user needs to install additional modules (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed using 'remotes::install_github' from their GitHub repositories: (<https://github.com/giabaio/survHEhmc> and <https://github.com/giabaio/survHEinla/> respectively). 'survHEinla' is based on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>. 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). <doi:10.18637/jss.v095.i14>.
How to cite:
Gianluca Baio (2017). survHE: Survival Analysis in Health Economic Evaluation. R package version 2.0.2, https://cran.r-project.org/web/packages/survHE. Accessed 30 Jan. 2025.
Previous versions and publish date:
1.0.4 (2017-06-30 00:07), 1.0.5 (2017-07-02 02:08), 1.0.6 (2017-07-09 00:29), 1.0.64 (2018-10-19 14:00), 1.0.65 (2018-11-09 15:30), 1.1.1 (2020-10-07 14:30), 1.1.2 (2021-02-09 01:40), 1.1 (2020-08-07 01:00), 2.0.1 (2023-03-19 23:10)
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