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crossurr is an R package that implements
cross-fitting for doubly robust evaluation of high-dimensional surrogate
markers.
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.
More details on the method is available in Agniel D, Hejblum BP, Thiébaut R & Parast L (2022), “Doubly robust evaluation of high-dimensional surrogate markers”, Biostatistics doi:10.1093/biostatistics/kxac020.
The main functions of this package are xf_surrogate and
xfr_surrogate
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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