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).

Version: 1.0.6
Depends: R (≥ 3.0.2), flexsurv, Rcpp (≥ 0.11.0)
Imports: rms, xlsx, tools, rstan (≥ 2.8.1), methods
LinkingTo: StanHeaders (≥ 2.9.0), rstan (≥ 2.9.0), BH (≥ 1.60.0), Rcpp (≥ 0.12.0), RcppEigen
Suggests: shinystan, INLA
Published: 2017-07-08
Author: Gianluca Baio
Maintainer: Gianluca Baio <gianluca at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: survHE results


Reference manual: survHE.pdf
Package source: survHE_1.0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: survHE_1.0.6.tgz, r-oldrel: survHE_1.0.6.tgz
Old sources: survHE archive


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