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: 1.1.1
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 (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: shinystan, INLA
Published: 2020-10-07
Author: Gianluca Baio [aut, cre]
Maintainer: Gianluca Baio <g.baio at>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: survHE citation info
CRAN checks: survHE results


Reference manual: survHE.pdf
Package source: survHE_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: survHE_1.1.1.tgz, r-oldrel: survHE_1.1.1.tgz
Old sources: survHE archive


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