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: 1.0.65
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: 2018-11-09
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
Materials: README
CRAN checks: survHE results

Downloads:

Reference manual: survHE.pdf
Package source: survHE_1.0.65.tar.gz
Windows binaries: r-devel: survHE_1.0.65.zip, r-devel-gcc8: survHE_1.0.65.zip, r-release: survHE_1.0.65.zip, r-oldrel: survHE_1.0.65.zip
OS X binaries: r-release: survHE_1.0.65.tgz, r-oldrel: survHE_1.0.65.tgz
Old sources: survHE archive

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