OptimalSurrogate: Model Free Approach to Quantifying Surrogacy

Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) <doi:10.1093/biomet/asz065>.

Version: 1.0
Depends: R (≥ 3.0)
Imports: splines, MASS, stats
Published: 2022-09-27
Author: Xuan Wang [aut], Layla Parast [aut, cre], Ming Yang [aut], Lu Tian [aut], Tianxi Cai [aut]
Maintainer: Layla Parast <parast at austin.utexas.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: OptimalSurrogate results


Reference manual: OptimalSurrogate.pdf


Package source: OptimalSurrogate_1.0.tar.gz
Windows binaries: r-devel: OptimalSurrogate_1.0.zip, r-release: OptimalSurrogate_1.0.zip, r-oldrel: OptimalSurrogate_1.0.zip
macOS binaries: r-release (arm64): OptimalSurrogate_1.0.tgz, r-oldrel (arm64): OptimalSurrogate_1.0.tgz, r-release (x86_64): OptimalSurrogate_1.0.tgz, r-oldrel (x86_64): OptimalSurrogate_1.0.tgz


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