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 |
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