postcard: Estimating Marginal Effects with Prognostic Covariate Adjustment

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: 1.0.0
Imports: cli, Deriv, dplyr, earth, generics, magrittr, options, parsnip, rlang, rsample, stats, stringr, tidyselect, tune, utils, workflowsets, xgboost, yardstick
Suggests: gggrid, ggplot2, knitr, LiblineaR, MASS, ranger, rmarkdown, testthat (≥ 3.0.0), withr
Published: 2025-04-08
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 <mathiasljeppesen at outlook.com>
BugReports: https://github.com/NovoNordisk-OpenSource/postcard/issues
License: MIT + file LICENSE
URL: https://novonordisk-opensource.github.io/postcard/, https://github.com/NovoNordisk-OpenSource/postcard
NeedsCompilation: no
Materials: README NEWS
CRAN checks: postcard results

Documentation:

Reference manual: postcard.pdf
Vignettes: Controlling behavior of model fitting functions (source, R code)
Introduction to postcard (source, R code)
Prospective Power Estimation (source, R code)

Downloads:

Package source: postcard_1.0.0.tar.gz
Windows binaries: r-devel: postcard_1.0.0.zip, r-release: postcard_1.0.0.zip, r-oldrel: not available
macOS binaries: r-devel (arm64): postcard_1.0.0.tgz, r-release (arm64): postcard_1.0.0.tgz, r-oldrel (arm64): postcard_1.0.0.tgz, r-devel (x86_64): postcard_1.0.0.tgz, r-release (x86_64): postcard_1.0.0.tgz, r-oldrel (x86_64): postcard_1.0.0.tgz

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