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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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | postcard_1.1.0.tar.gz |
228.0 KiB |
1.1.0 |
rolling linux/noble R-4.5 | postcard_1.1.0.tar.gz |
227.8 KiB |
1.1.0 |
rolling source/ R- | postcard_1.1.0.tar.gz |
172.2 KiB |
1.1.0 |
latest linux/jammy R-4.5 | postcard_1.1.0.tar.gz |
228.0 KiB |
1.1.0 |
latest linux/noble R-4.5 | postcard_1.1.0.tar.gz |
227.8 KiB |
1.1.0 |
latest source/ R- | postcard_1.1.0.tar.gz |
172.2 KiB |
1.1.0 |
2026-04-26 source/ R- | postcard_1.1.0.tar.gz |
172.2 KiB |
1.1.0 |
2026-04-23 source/ R- | postcard_1.1.0.tar.gz |
172.2 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | postcard_1.1.0.zip |
233.1 KiB |
1.0.0 |
2025-04-20 source/ R- | postcard_1.0.0.tar.gz |
93.7 KiB |