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 |
Reference manual: | survHE.pdf |
Package source: | survHE_1.1.2.tar.gz |
Windows binaries: | r-devel: survHE_1.1.2.zip, r-release: survHE_1.1.2.zip, r-oldrel: survHE_1.1.2.zip |
macOS binaries: | r-release: survHE_1.1.2.tgz, r-oldrel: survHE_1.1.2.tgz |
Old sources: | survHE archive |
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