Package: crossurr Type: Package Title: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers Version: 1.0.6 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") ) 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 . 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: 7.2.1 NeedsCompilation: no Packaged: 2022-10-21 11:43:26 UTC; denisagniel Author: Denis Agniel [aut, cre], Boris P. Hejblum [aut] Maintainer: Denis Agniel Repository: CRAN Date/Publication: 2022-10-21 15:25:07 UTC