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crossurr: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebaut R & Parast L (2022). "Doubly robust evaluation of high-dimensional surrogate markers", Biostatistics <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine how much of the overall treatment effect is explained by a (possibly high-dimensional) set of surrogate markers.
Getting started
Browse package contents
Package details |
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| Author | Denis Agniel [aut, cre], Boris P. Hejblum [aut] |
| Maintainer | Denis Agniel <dagniel@rand.org> |
| License | MIT + file LICENSE |
| Version | 1.1.1 |
| Package repository | View on CRAN |
| Installation |
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