Package: OptimalSurrogate
Title: Model Free Approach to Quantifying Surrogacy
Version: 1.0
Authors@R: c(
    person("Xuan", "Wang", role = "aut"),
    person("Layla", "Parast", role = c("aut", "cre"), email = "parast@austin.utexas.edu"),
    person("Ming", "Yang", role = "aut"),
    person("Lu", "Tian", role = "aut"),  
    person("Tianxi", "Cai", role = "aut")
    )
Description: 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>.
License: GPL-3
Depends: R (>= 3.0)
Imports: splines, MASS, stats
NeedsCompilation: no
Packaged: 2026-07-12 07:36:32 UTC; root
Author: Xuan Wang [aut], Layla Parast [aut, cre], Ming Yang [aut], Lu
        Tian [aut], Tianxi Cai [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Repository: https://laylaparast.r-universe.dev
Date/Publication: 2022-09-27 09:20:07 UTC
RemoteUrl: https://github.com/cran/OptimalSurrogate
RemoteRef: HEAD
RemoteSha: ccba9306a4dbfe33b09907828ed7265ec90f5523