Package: survHE
Title: Survival Analysis in Health Economic Evaluation
Version: 2.0.52
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
Roxygen: list(markdown = TRUE)
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
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make default-jdk libicu-dev libuv1-dev
Repository: https://giabaio.r-universe.dev
Date/Publication: 2026-05-08 10:08:10 UTC
RemoteUrl: https://github.com/giabaio/survHE
RemoteRef: HEAD
RemoteSha: 2a9d358ea912e7b8cc31dd5eea856dcc0841e18f
NeedsCompilation: no
Packaged: 2026-06-07 06:28:51 UTC; root
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>