Package: crossurr
Type: Package
Title: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional
        Surrogate Markers
Version: 1.1.3
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
URL: https://github.com/denisagniel/crossurr
BugReports: https://github.com/denisagniel/crossurr/issues
Config/pak/sysreqs: libicu-dev
Repository: https://denisagniel.r-universe.dev
Date/Publication: 2025-04-15 12:32:15 UTC
RemoteUrl: https://github.com/denisagniel/crossurr
RemoteRef: HEAD
RemoteSha: 2637c9277cd7263b807774bc025584d146bdeb21
NeedsCompilation: no
Packaged: 2026-10-09 10:13:34 UTC; root
Author: Denis Agniel [aut, cre],
  Boris P. Hejblum [aut],
  Layla Parast [aut]
Maintainer: Denis Agniel <dagniel@rand.org>