Type: Package
Package: postcard
Title: Estimating Marginal Effects with Prognostic Covariate Adjustment
Version: 1.1.0
Authors@R: c(
    person("Mathias Lerbech", "Jeppesen", ,
           "mathiasljeppesen@outlook.com", role = c("aut", "cre")),
    person("Emilie", "Hojbjerre-Frandsen", ,
           "ehfd@novonordisk.com", role = "aut"),
    person("Novo Nordisk A/S", role = "cph")
  )
Description: Conduct power analyses and inference of marginal effects. 
    Uses plug-in estimation and influence functions to perform robust inference,
    optionally leveraging historical data to increase precision with
    prognostic covariate adjustment. The methods are described in
    Højbjerre-Frandsen et al. (2025) <doi:10.48550/arXiv.2503.22284>.
License: MIT + file LICENSE
URL: https://novonordisk-opensource.github.io/postcard/,
        https://github.com/NovoNordisk-OpenSource/postcard
BugReports: https://github.com/NovoNordisk-OpenSource/postcard/issues
Imports: cli, Deriv, dplyr, earth, generics, gggrid, ggplot2, options,
        parsnip, rlang, rsample, scales, stats, stringr, tune, utils,
        workflowsets, xgboost, yardstick
Suggests: knitr, LiblineaR, MASS, ranger, rmarkdown, testthat (>=
        3.0.0), vdiffr, withr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-17 12:22:14 UTC; Mathias
Author: Mathias Lerbech Jeppesen [aut, cre],
  Emilie Hojbjerre-Frandsen [aut],
  Novo Nordisk A/S [cph]
Maintainer: Mathias Lerbech Jeppesen <mathiasljeppesen@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-17 12:50:02 UTC
Built: R 4.6.0; ; 2026-04-30 15:18:34 UTC; unix
