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: 2022-09-27 00:03:52 UTC; parastlm
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: CRAN
Date/Publication: 2022-09-27 10:20:07 UTC
Built: R 4.6.0; ; 2026-04-26 23:28:44 UTC; unix
