Package: survHE
Title: Survival Analysis in Health Economic Evaluation
Version: 2.0.51
Authors@R: c(
    person(given = "Gianluca",family = "Baio",role = c("aut", "cre"),email = "g.baio@ucl.ac.uk"),
    person("Andrea","Berardi",role="ctb",email="and.be.like@gmail.com"),
    person("Philip","Cooney",role="ctb",email="philip.cooney@hotmail.com"),
    person("Andrew","Jones",role="ctb",email="andrew.r.johnson@postgrad.curtin.edu.au"),
    person("Nathan","Green",role="ctb",email="n.green@ucl.ac.uk"))
URL: https://github.com/giabaio/survHE,
        https://gianluca.statistica.it/software/survhe/
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). To run the Bayesian models, the user needs to install additional modules 
    (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed from 
    <https://giabaio.r-universe.dev/> using 
    'install.packages("survHEhmc", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))'
    and 
    'install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))'
    respectively. 'survHEinla' is based on the package INLA, which is available for download at
    <https://inla.r-inla-download.org/R/stable/>. 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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2.9000
Biarch: true
Depends: methods, R (>= 4.1.0), flexsurv, dplyr, ggplot2
Imports: rms, xlsx, tools, tibble, tidyr
Suggests: survHEinla, survHEhmc, INLA, rstan, testthat (>= 3.0.0)
Config/testthat/edition: 3
Additional_repositories: https://inla.r-inla-download.org/R/stable/,
        https://giabaio.r-universe.dev/
SystemRequirements: GNU make
NeedsCompilation: no
Packaged: 2026-01-15 15:02:44 UTC; gianluca
Author: Gianluca Baio [aut, cre],
  Andrea Berardi [ctb],
  Philip Cooney [ctb],
  Andrew Jones [ctb],
  Nathan Green [ctb]
Maintainer: Gianluca Baio <g.baio@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-15 15:30:02 UTC
Built: R 4.6.0; ; 2026-04-29 12:27:11 UTC; unix
