survHE: Survival Analysis in Health Economic Evaluation
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). <doi:10.18637/jss.v095.i14>.
| Version: |
1.1.2 |
| Depends: |
methods, R (≥ 3.6.0), Rcpp (≥ 0.12.19), flexsurv, dplyr, ggplot2 |
| Imports: |
rms, xlsx, tools, rstan (≥ 2.18.1), tibble |
| 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: |
2021-02-09 |
| Author: |
Gianluca Baio [aut, cre] |
| 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,
http://www.statistica.it/gianluca/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Additional_repositories: |
https://inla.r-inla-download.org/R/stable |
| Citation: |
survHE citation info |
| CRAN checks: |
survHE results |
Documentation:
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