DESCRIPTION

Package: blendR
Title: Blended Survival Curves
Version: 1.0.0
Authors@R: c(
    person("Nathan", "Green", , "n.green@ucl.ac.uk", role = "aut",
           comment = c(ORCID = "0000-0003-2745-1736", ROR = "02jx3x895")),
    person("Zhaojing", "Che", , "blendr-pkg@proton.me", role = c("aut", "cph", "cre"),
           comment = c(ORCID = "0000-0003-2245-1606", ROR = "052gg0110"))
  )
Description: Create a blended curve from two survival curves, which is particularly useful
          for survival extrapolation in health technology assessment. The main idea is to
          mix a flexible model that fits the observed data well with a parametric model that
          encodes assumptions about long-term survival. The two curves are blended into a
          single survival curve that is identical to the first model over the range of 
          observed times and gradually approaches the parametric model over the extrapolation
          period based on a given weight function. This approach allows for the inclusion of
          external information, such as data from registries or expert opinion, to guide
          long-term extrapolations, especially when dealing with immature trial data.
          See Che et al. (2022) <doi:10.1177/0272989X221134545>.
License: GPL (>= 3)
Additional_repositories: https://giabaio.r-universe.dev, https://inla.r-inla-download.org/R/stable
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2.9000
Imports:
    dplyr,
    flexsurv,
    ggplot2,
    manipulate,
    sn,
    survHE,
    tibble
Depends:
    R (>= 4.4.0)
Suggests:
    INLA,
    knitr,
    remotes,
    rlang,
    rmarkdown,
    survHEhmc,
    survival,
    testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/StatisticsHealthEconomics/blendR/,
     https://StatisticsHealthEconomics.github.io/blendR/
BugReports: https://github.com/StatisticsHealthEconomics/blendR/issues/
Config/testthat/edition: 3