Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 7 (4 internal)includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 67%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing crossurr adds 47 packages (27 with compiled code, 45 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, gplots 4.6 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.1.2Latest
- 1.1.12024-06-14 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.62022-10-21
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-10-21
- Total releases
- 3 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 38 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("crossurr")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/biostatistics/kxac020.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.