outstandR/DESCRIPTION at main · StatisticsHealthEconomics/outstandR · GitHub

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Package: outstandR
Title: Model-Based Standardisation for Indirect Treatment Comparison with Limited Subject-Level Data
Version: 1.0.0.9000
Authors@R: c(
    person("Nathan", "Green", , "n.green@ucl.ac.uk", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-2745-1736", ROR = "02jx3x895")),
    person("Chengyang", "Gao", , "chengyang.gao.15@ucl.ac.uk", role = "aut"),
    person("Antonio", "Remiro-Azocar", , "antonio.remiro-azocar@bayer.com", role = "aut",
           comment = c(ORCID = "0000-0002-7263-4251"))
  )
Description:
    For the problem of indirect treatment comparison with limited subject-level data, this
    package provides tools for model-based standardisation with several different computation approaches.
        See Remiro‐Azócar A, Heath A, Baio G (2022) ``Parametric G‐computation for compatible
        indirect treatment comparisons with limited individual patient data'',
        Res. Synth. Methods, 1–31. ISSN 1759-2879, <doi:10.1002/jrsm.1565>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports:
    boot,
    cli,
    copula,
    crayon,
    dplyr,
    ggplot2,
    glue,
    pillar,
    purrr,
    rlang,
    rstanarm,
    stats,
    stringr,
    tibble,
    tidyr,
    tidyselect,
    Rdpack (>= 0.7)
Suggests:
    causaldata,
    doSNOW,
    gridExtra,
    here,
    knitr,
    maicplus,
    marginaleffects,
    MASS,
    parallel,
    reshape2,
    rmarkdown,
    stdReg2,
    testthat (>= 3.0.0)
Config/testthat/edition: 3
RdMacros: Rdpack
URL: https://StatisticsHealthEconomics.github.io/outstandR/
BugReports: https://github.com/StatisticsHealthEconomics/outstandR/issues/
LazyData: false