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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>.
| Version: | 2.0.2 |
| Depends: | methods, R (≥ 3.6.0), flexsurv, dplyr, ggplot2 |
| Imports: | rms, xlsx, tools, tibble, tidyr |
| Suggests: | survHEinla, survHEhmc, INLA, rstan, testthat (≥ 3.0.0) |
| Published: | 2024-10-04 |
| 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: | yes |
| SystemRequirements: | GNU make |
| Additional_repositories: | https://inla.r-inla-download.org/R/stable/, https://giabaio.github.io/drat/ |
| Materials: | README NEWS |
| CRAN checks: | survHE results |
| Reference manual: | survHE.pdf |
| Package source: | survHE_2.0.2.tar.gz |
| Windows binaries: | r-devel: survHE_2.0.2.zip, r-release: survHE_2.0.2.zip, r-oldrel: survHE_2.0.2.zip |
| macOS binaries: | r-release (arm64): survHE_2.0.2.tgz, r-oldrel (arm64): survHE_2.0.2.tgz, r-release (x86_64): survHE_2.0.2.tgz, r-oldrel (x86_64): survHE_2.0.2.tgz |
| Old sources: | survHE archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.