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 from <https://giabaio.r-universe.dev/> using 'install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))' and 'install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))' 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>.
Version: 2.0.5 Depends: methods, R (≥ 4.1.0), flexsurv, dplyr, ggplot2 Imports: rms, xlsx, tools, tibble, tidyr Suggests: survHEinla, survHEhmc, INLA, rstan, testthat (≥ 3.0.0) Published: 2025-06-12 DOI: 10.32614/CRAN.package.survHE Author: Gianluca Baio [aut, cre], Andrea Berardi [ctb], Philip Cooney [ctb], Andrew Jones [ctb], Nathan Green [ctb] Maintainer: Gianluca Baio <g.baio at ucl.ac.uk> BugReports: https://github.com/giabaio/survHE/issues License: GPL (≥ 3) URL: https://github.com/giabaio/survHE, https://gianluca.statistica.it/software/survhe/ NeedsCompilation: no SystemRequirements: GNU make Additional_repositories: https://inla.r-inla-download.org/R/stable/, https://giabaio.r-universe.dev/ Materials: README, NEWS CRAN checks: survHE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=survHE to link to this page.
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