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 stats.ucl.ac.uk> |
BugReports: | https://github.com/giabaio/survHE/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/giabaio/survHE, http://www.statistica.it/gianluca |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | survHE results |
Reference manual: | survHE.pdf |
Package source: | survHE_1.0.6.tar.gz |
Windows binaries: | r-devel: survHE_1.0.6.zip, r-release: survHE_1.0.6.zip, r-oldrel: survHE_1.0.6.zip |
OS X El Capitan binaries: | r-release: survHE_1.0.6.tgz |
OS X Mavericks binaries: | r-oldrel: survHE_1.0.6.tgz |
Old sources: | survHE archive |
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