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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 |
| 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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