postcard: Estimating Marginal Effects with Prognostic Covariate Adjustment (original) (raw)
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>.
| Version: | 1.1.0 |
|---|---|
| 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 |
| Published: | 2025-09-17 |
| DOI: | 10.32614/CRAN.package.postcard |
| Author: | Mathias Lerbech Jeppesen [aut, cre], Emilie Hojbjerre-Frandsen [aut], Novo Nordisk A/S [cph] |
| Maintainer: | Mathias Lerbech Jeppesen |
| BugReports: | https://github.com/NovoNordisk-OpenSource/postcard/issues |
| License: | MIT + file |
| URL: | https://novonordisk-opensource.github.io/postcard/,https://github.com/NovoNordisk-OpenSource/postcard |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | postcard results |
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