Package: crossurr 1.1.1

Denis Agniel

crossurr: Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers

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.

Authors:Denis Agniel [aut, cre], Boris P. Hejblum [aut]

crossurr_1.1.1.tar.gz
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crossurr.pdf |crossurr.html✨
crossurr/json (API)
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Last updated 3 months agofrom:f3e08db7d7. Checks:OK: 2. Indexed: yes.

Exports:sim_dataxf_surrogatexfr_surrogate

Dependencies:bitopscaToolsclicodetoolscpp11cvAUCdata.tabledplyrfansiforeachgamgbmgenericsglmnetgluegplotsgtoolsiteratorsKernSmoothlatticelifecyclemagrittrMatrixncvregnnlspbapplypillarpkgconfigpurrrR6rangerRCALRcppRcppEigenrlangROCRshapeSISstringistringrSuperLearnersurvivaltibbletidyrtidyselecttrustutf8vctrswithr