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crossurr

Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers

v1.1.2 · Apr 8, 2025 · MIT + file LICENSE

Description

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.

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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
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r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr gbm glmnet glue pbapply purrr ranger RCAL rlang SIS SuperLearner tibble tidyr crossurr

Version History

new 1.1.2 Mar 10, 2026
updated 1.1.2 ← 1.1.1 diff Apr 7, 2025
updated 1.1.1 ← 1.0.6 diff Jun 13, 2024
new 1.0.6 Oct 20, 2022