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Estimating Marginal Effects with Prognostic Covariate Adjustment

v1.1.0 · Sep 17, 2025 · MIT + file LICENSE

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 HĂžjbjerre-Frandsen et al. (2025) <doi:10.48550/arXiv.2503.22284>.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies cli Deriv dplyr earth generics gggrid ggplot2 options parsnip rlang rsample scales stringr tune workflowsets +2 more dependencies postcard

Version History

new 1.1.0 Mar 10, 2026
updated 1.1.0 ← 1.0.1 diff Sep 16, 2025
updated 1.0.1 ← 1.0.0 diff Jun 30, 2025
new 1.0.0 Apr 7, 2025