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

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OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
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package dependencies

Packages required but not available:
  'parsnip', 'rsample', 'tune', 'workflowsets'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
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

4 tracked
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