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).
| Version: | 1.1 |
| Depends: | methods, R (≥ 3.4.0), Rcpp (≥ 0.12.19), flexsurv |
| Imports: | rms, xlsx, tools, rstan (≥ 2.18.1) |
| LinkingTo: | BH (≥ 1.66.0-1), Rcpp (≥ 0.12.19), RcppEigen (≥ 0.3.3.4.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
| Suggests: | shinystan, INLA |
| Published: | 2020-08-06 |
| Author: | Gianluca Baio [aut, cre] |
| Maintainer: | Gianluca Baio <gianluca at stats.ucl.ac.uk> |
| BugReports: | https://github.com/giabaio/survHE/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/giabaio/survHE, http://www.statistica.it/gianluca |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| CRAN checks: | survHE results |
| Reference manual: | survHE.pdf |
| Package source: | survHE_1.1.tar.gz |
| Windows binaries: | r-devel: survHE_1.0.65.zip, r-release: survHE_1.0.65.zip, r-oldrel: survHE_1.0.65.zip |
| macOS binaries: | r-release: survHE_1.0.65.tgz, r-oldrel: survHE_1.0.65.tgz |
| Old sources: | survHE archive |
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