The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.OptimalSurrogate
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

Documentation:

Reference manual: OptimalSurrogate.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=OptimalSurrogate to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.