Package: survHE
Title: Survival Analysis in Health Economic Evaluation
Version: 1.0.65
Date: 2018-11-07
Authors@R: 
    person(given = "Gianluca",
           family = "Baio",
           role = c("aut", "cre"),
           email = "gianluca@stats.ucl.ac.uk")
URL: https://github.com/giabaio/survHE,
        http://www.statistica.it/gianluca
BugReports: https://github.com/giabaio/survHE/issues
Description: 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).
License: GPL (>= 3)
Depends: methods, R (>= 3.4.0), Rcpp (>= 0.12.19), flexsurv
Imports: rms, xlsx, tools, rstan (>= 2.18.1),
Suggests: shinystan, INLA
LinkingTo: BH (>= 1.66.0-1), Rcpp (>= 0.12.19), RcppEigen (>=
        0.3.3.4.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Additional_repositories: https://inla.r-inla-download.org/R/stable
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 6.1.1
Packaged: 2018-11-08 22:11:39 UTC; gianluca
Author: Gianluca Baio [aut, cre]
Maintainer: Gianluca Baio <gianluca@stats.ucl.ac.uk>
Repository: CRAN
Date/Publication: 2018-11-09 14:30:07 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 15:56:44 UTC; windows
Archs: i386, x64
