crossurr: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers (original) (raw)
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.
| Version: | 1.1.2 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | dplyr, gbm, glmnet, glue, parallel, pbapply, purrr, ranger, RCAL, rlang, SIS, stats, SuperLearner, tibble, tidyr |
| Published: | 2025-04-08 |
| DOI: | 10.32614/CRAN.package.crossurr |
| Author: | Denis Agniel [aut, cre], Boris P. Hejblum [aut], Layla Parast [aut] |
| Maintainer: | Denis Agniel |
| License: | MIT + file |
| NeedsCompilation: | no |
| Citation: | crossurr citation info |
| Materials: | README, NEWS |
| CRAN checks: | crossurr results |
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