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crossurr

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, ThiƩbaut 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

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Version

Install

install.packages('crossurr')

Monthly Downloads

204

Version

1.1.2

License

MIT + file LICENSE

Maintainer

Denis Agniel

Last Published

April 8th, 2025

Functions in crossurr (1.1.2)

crossurr-package

crossurr
ols

Ordinary Least Squares
xf_surrogate

A function for estimating the proportion of treatment effect explained using cross-fitting.
xfr_surrogate

A function for estimating the proportion of treatment effect explained using repeated cross-fitting.
sim_data

A simple function to simulate example data.
lasso

lasso
xfit_dr

Title