CRAN/E | crossurr

crossurr

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

Installation

About

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.

Citation crossurr citation info

Key Metrics

Version 1.0.6
R ≥ 3.6.0
Published 2022-10-21 555 days ago
Needs compilation? no
License MIT
License File
CRAN checks crossurr results

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Maintainer

Maintainer

Denis Agniel

dagniel@rand.org

Authors

Denis Agniel

aut / cre

Boris P. Hejblum

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.6.0

Imports

dplyr
gbm
glmnet
glue
parallel
pbapply
purrr
ranger
RCAL
rlang
SIS
stats
SuperLearner
tibble
tidyr