Package: crossurr
Type: Package
Title: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
        Surrogate Markers
Version: 1.1.2
Authors@R: c(person("Denis", "Agniel", role = c("aut", "cre"),
                    email = "dagniel@rand.org"),
	           person("Boris P.", "Hejblum", role = c("aut"),
	                  email = "boris.hejblum@u-bordeaux.fr"),
	           person("Layla", "Parast", role = c("aut"),
	                  email = "parast@austin.utexas.edu")
	         )
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.
License: MIT + file LICENSE
Depends: R (>= 3.6.0)
Imports: dplyr, gbm, glmnet, glue, parallel, pbapply, purrr, ranger,
        RCAL, rlang, SIS, stats, SuperLearner, tibble, tidyr
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-04-04 12:54:18 UTC; boris
Author: Denis Agniel [aut, cre],
  Boris P. Hejblum [aut],
  Layla Parast [aut]
Maintainer: Denis Agniel <dagniel@rand.org>
Repository: CRAN
Date/Publication: 2025-04-08 13:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 17:22:35 UTC; unix
