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 <dagniel at rand.org> License: MIT + file LICENSE NeedsCompilation: no Citation: crossurr citation info Materials: README, NEWS CRAN checks: crossurr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=crossurr to link to this page.
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