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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:1.1.0
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 <mathiasljeppesen at outlook.com>
BugReports:https://github.com/NovoNordisk-OpenSource/postcard/issues
License:MIT + fileLICENSE
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.html ,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_1.1.0.tar.gz
Windows binaries: r-devel:postcard_1.1.0.zip, r-release:postcard_1.1.0.zip, r-oldrel:postcard_1.1.0.zip
macOS binaries: r-release (arm64):postcard_1.1.0.tgz, r-oldrel (arm64):postcard_1.1.0.tgz, r-release (x86_64):postcard_1.1.0.tgz, r-oldrel (x86_64):postcard_1.1.0.tgz
Old sources: postcard archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=postcardto link to this page.


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